Van Data Team

Data Pipeline Development Services: Hire ETL & Streaming Engineers

Data pipeline debugging and ETL development

Van Data Team delivers expert data pipeline development services, engineering scalable, production grade ETL and ELT pipelines with Airflow, dbt, and Kafka. Streamline your data integration and ship in 2 to 6 weeks with total ownership. Trusted by 150+ global brands across 15+ countries.

Book a Free 30-Min Strategy CallView Data Pipeline Case Studies

150+

Companies

Companies have chosen Van Data Team

15+

Countries

Countries with active or completed client engagements

99%+

Uptime

Typical pipeline uptime across the first 90 days after launch

2–6 weeks

Timeline

Median timeline from kickoff to production for full pipelines

150+ Projects DeliveredTop Rated Plus on Upwork100% Job Success Score

Is Your Data Pipeline Holding the Business Back?

Pipelines That Silently Break

Finding out the pipeline failed only when the CEO Slacks you a stale dashboard at 8 AM.

Fragile Legacy Scripts

A four year old Python and cron stack nobody on the current team dares to touch.

Off the Shelf Templates

A generic data stack that simply doesn't match how your business actually models revenue, users, or events.

Not Production Grade

Pipelines that work fine in staging but miss SLAs, skip retries, and ship with no runbook.

Complex to Maintain

Five hundred line SQL scripts, tangled Airflow DAGs, and undocumented transformations. Every change is a gamble.

Data Silos Everywhere

Salesforce, Stripe, Mixpanel and NetSuite. Six tools plus six versions of "active customers".

What Every Global Data Pipeline We Deliver Includes

Modular Airflow DAGs, sensible task grouping, and deferrable operators where they actually matter. Code a new engineer can read in a single afternoon.

dbt structures tailored to how your business actually thinks about customers, revenue, and events. We ship custom logic instead of generic ecommerce templates.

Secrets stored in Secret Manager or KMS, least privilege IAM, encryption at rest and in transit. Audit ready from day one.

The right materialization strategy, plus careful partitioning and clustering. Query performance is tuned long before you see a single dashboard.

Data ingestion from Salesforce, HubSpot, NetSuite, Stripe, Shopify and Segment. Plus custom connectors for rare APIs.

Great Expectations on ingestion, dbt tests on transformation, schema contract enforcement at source boundaries.

Our secret to data pipelines that simply never fail? The Founder Led Execution Loop.

Book a Free 30 Min Strategy Call

What You Actually Want

50% Less Firefighting Time

Your engineers stop tailing Airflow logs at midnight and get back to shipping the features that actually move the business.

Real Time Decisions on Trusted Data

Pipelines that run every 15 minutes instead of every 24 hours, with numbers the finance team finally stops second guessing.

Pipelines That Just Run

SLA alerts, automatic retries, schema validation, and full observability. You see green, not red.

Data Infrastructure Ready for AI

Versioned schemas, a clean semantic layer, and unified customer IDs. Your next ML or RAG project starts on week one, not week twelve.

Ready to see these outcomes in your own stack? Let's start with a data architecture review.

Book a Free 30-Min Strategy Call

Our Clients: Who Benefits from Van Data Team's Data Pipeline Development Services?

Data & Analytics Teams

Data & Analytics Teams

You have analysts who write solid SQL, but no one owns the orchestration layer. We handle the infrastructure side so your analysts stay focused on analytics.

Startups & Scale Ups

Startups & Scale Ups

Series A through Series C. You have outgrown spreadsheets. Your first data engineer needs a working warehouse and pipelines on day one, not three months of setup.

AI & ML Teams

AI & ML Teams

You are training models, building RAG systems, or running AI agents. Clean data is the bottleneck. We have built ingestion and transformation for teams working on 400K+ document RAG systems, healthcare lab pipelines, and agentic workflows.

Teams Replacing Legacy ETL

Teams Replacing Legacy ETL

You inherited a pile of cron triggered Python scripts or a four year old SSIS package. We migrate with parallel runs and delta validation. No big bang cutovers.

Our Data Pipeline Development Process

A 60 minute technical call to map sources, destinations, and SLAs. We profile real data in a dev warehouse for 3 to 5 days, then deliver a written scope document covering inclusions, timeline, and risks.

  • Map source systems, destinations, and data SLAs
  • Profile real data in a dev warehouse for 3 to 5 days
  • Deliver written scope document with inclusions, timeline, and risks

A one page architecture diagram plus a decision log explaining every tool choice. Why Apache Airflow over Prefect. Why BigQuery over Snowflake. You sign off before any infrastructure spins up.

  • Architecture diagram with tool decision log
  • Clear rationale for every technology choice
  • Client sign off before any infrastructure spins up

Week one ships a working skeleton. We scaffold DAGs, sample dbt models, and infrastructure as code in a dev environment. By Friday, one pipeline runs end to end, surfacing IAM and networking issues while fixes stay cheap.

  • Scaffold DAGs, sample dbt models, and IaC in dev
  • One pipeline runs end to end by the end of week one
  • Surface IAM and networking issues while fixes are still cheap

Weekly sprints with Monday demos. All code pushes to a GitHub repository you fully own. Feedback is tracked in Linear or GitHub Issues. No vendor blackouts, no surprise pull requests at final delivery.

  • Weekly sprints with Monday demos
  • All code in your GitHub repository
  • Feedback tracked in Linear or GitHub Issues

A full backfill with row by row reconciliation against the source systems. dbt tests cover nulls, uniqueness, and referential integrity. Great Expectations enforces schema contracts at ingestion. You get a written validation report before launch.

  • Full backfill with row by row reconciliation
  • dbt tests for nulls, uniqueness, and referential integrity
  • Great Expectations schema contract enforcement
  • Written validation report delivered before launch

Parallel runs against legacy systems for 5 to 10 business days, then cutover during business hours. Handoff includes a runbook, dbt docs, architecture diagrams, and a 90 minute recorded walkthrough. Plus 30 days of free support after launch.

  • Parallel runs against legacy systems for 5 to 10 business days
  • Runbook, dbt docs, architecture diagrams, and recorded walkthrough
  • 30 days of free support included after launch

What Makes Van Data Team Different

Starting timeline
Van Data Team2–6 weeks
Typical Freelancer4–12 weeks
Large Agency8–16 weeks
Production reliability checklist
Van Data TeamProprietary 40 point
Typical FreelancerAd hoc
Large AgencyVaries
Idempotent DAG design
Van Data Team✔️
Typical FreelancerSometimes
Large Agency✔️
Schema contract enforcement
Van Data TeamGreat Expectations + dbt
Typical Freelancer✗
Large Agency✔️
SLA alerts to PagerDuty or Opsgenie
Van Data Team✔️
Typical FreelancerRare
Large Agency✔️
Runbook and recorded handoff
Van Data Team✔️
Typical Freelancer✗
Large Agency✔️
Direct access to the builders
Van Data TeamEvery meeting
Typical Freelancer✔️
Large AgencyRare past kickoff
You own the GitHub repo
Van Data Team✔️
Typical FreelancerVaries
Large Agency✔️
Multi source stack experience
Van Data Team150+ projects
Typical FreelancerVaries
Large Agency✔️
Free 30 days of support after launch
Van Data Team✔️
Typical Freelancer✗
Large AgencyVaries
Airflow + dbt + streaming expertise in one team
Van Data Team✔️
Typical FreelancerRare
Large Agency✔️ at 3–5x cost

Why Global Clients Trust Data Pipeline Development Services from Van Data Team

Our Proprietary Reliability Checklist

Every pipeline we ship passes the same 40 point production readiness checklist: idempotency, schema validation, SLA alerts, retry policies, runbook coverage, and lineage. Used on 150+ engagements. Not available from any other vendor.

Multi Industry Experience

We have shipped production work across healthcare analytics, fintech, aviation data, ecommerce, logistics, and SaaS. Every industry has its own data shape quirks, and we have seen most of them up close.

Easy to Manage After Handoff

Every project ships with a runbook, README, dbt docs, architecture diagram, and a 90 minute recorded handoff session. Your on call engineer can work from the documentation alone.

Built for AI Workloads

Every pipeline we design today is engineered with feature engineering, embeddings, and agent consumption patterns in mind. When your team ships the next LLM workflow, the data is already prepared and waiting.

Meet Van Data Team – Your Partners in Automated Data Pipeline Development Services

With 5+ years of production data engineering experience and 150+ projects shipped across industries, Van Data Team is a specialist consultancy providing data pipeline development services that run reliably in production. We use a proprietary reliability checklist refined across projects in healthcare, fintech, ecommerce, logistics and SaaS. We serve clients primarily in the US, UK, EU and Australia, with Top Rated Plus status and a 100% Job Success Score on Upwork.

Tran Tien Van - Founder of Van Data Team
FeatureReliability Standard
✅ Production Grade⭐ Reliable from day one
✅ Full Observability⭐ Alerts before you notice
✅ You Own the Stack⭐ Your GitHub, your cloud
✅ Custom Built⭐ Not a reskinned template
Meet Van Data Team

What Clients Say About Our Data Pipeline Development Services

Van Data Team builds production ready AI agents and agentic AI systems that automate real workflows, control operational costs, and scale with your business.

Verified review signal

5.0

71 reviews on Upwork

5 stars
69
4 stars
2
3 stars
0
2 stars
0
1 star
0
See Upwork Reviews
CS

Chod S.

5.00

February 25, 2026

Data Extraction & Automation Engineer for Large Document Repository

Verified rating captured from the shared Upwork review screenshots.

CK

Chris K.

5.00

December 30, 2025

FT Platform Phase #2

"Great backend developer, highly recommend!"
GB

Gilad B.

5.00

December 18, 2025

Phase 0: Design a granular data schema and structure, and full tool flow

"Very knowledgeable and professional. Good communication"
CK

Chris K.

5.00

December 5, 2025

BQ Pipeline Automation + Lightweight API

Verified rating captured from the shared Upwork review screenshots.

AB

Ari B.

5.00

November 25, 2025

30 minute consultation

Verified rating captured from the shared Upwork review screenshots.

TS

Tomer S.

5.00

September 9, 2025

Data handling

Verified rating captured from the shared Upwork review screenshots.

JD

Julio D.

5.00

July 16, 2025

Web scraper in R

"Tran was great, very knowledgeable and quick responses"
JY

Jason Y.

5.00

June 13, 2025

Flowise N8N AI Agent Builder

Verified rating captured from the shared Upwork review screenshots.

AP

Adam P.

5.00

May 26, 2025

scrape data for research project

Verified rating captured from the shared Upwork review screenshots.

DM

Dillon M.

5.00

May 16, 2025

30 minute consultation

Verified rating captured from the shared Upwork review screenshots.

BV

Bernard V.

5.00

May 12, 2025

30 minute consultation

Verified rating captured from the shared Upwork review screenshots.

PT

Preska T.

5.00

April 10, 2025

LLM

Verified rating captured from the shared Upwork review screenshots.

MM

Madison M.

5.00

March 31, 2025

Review Git Pull Requests

"Very responsive and quick to get started! Produced excellent results. I will definitely reach out again in the future."
DC

David C.

5.00

March 29, 2025

You will get AWS, GCP and Azure Data pipeline

"Great platform to interface with developer."
AJ

Alex J.

5.00

February 18, 2025

You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools

"Fast, responsive, professional. Really appreciated the thorough documentation too."
TS

Tomer S.

5.00

December 12, 2024

Create Web scraper for Facebook

"Van exceeded all expectations with exceptional professionalism and expertise. They delivered high-quality work ahead of schedule, communicated effectively throughout the project, and made the collaboration seamless and enjoyable. I highly recommend Van to anyone looking for a skilled and reliable freelancer."
PT

Preska T.

5.00

October 21, 2024

You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools

"I recently had the pleasure of working with Tran, and I can't express enough how impressed I am with his work. From the very beginning, he demonstrated a deep understanding of our project requirements and brought a level of expertise that made a significant difference in the outcome. What truly sets Tran apart is his commitment to excellence."
AW

Alice W.

5.00

June 28, 2024

Data Pipeline

Verified rating captured from the shared Upwork review screenshots.

AW

Alice W.

5.00

May 26, 2024

Admin Panel for Data Management

"AMAZING. We are lucky that we found Van. He helped us with our database structure. He is very knowledgeable and very cooperative. We are still continuing to work with him further. I can only highly recommend."
NS

Nic S.

5.00

May 15, 2024

Web scraping - Project review and proposal

"Excellent work. I'd be very happy to work with Tran in the future."
PK

Paris K.

5.00

March 22, 2024

Seeking developers experienced with LAMP (Python) and REST APIs for UX Research Study / gstd-2024-1

"Tran did a great job on a LAMP REST API deployment to Microsoft Azure. We'd be happy to work with this freelancer again."
YK

Yalcin K.

5.00

March 18, 2024

Python Developer to Build a Shopify Integration

"Van is a great data engineer, and I highly recommend it. He joined our project and helped build a custom data pipeline within weeks."
OD

Omer D.

4.80

March 5, 2024

Attach Stripe webhook to Flask server

Verified rating captured from the shared Upwork review screenshots.

Meet the Engineers Who Build Your Pipeline

Tran Tien Van - Founder of Van Data Team

Engineers Who Understand the Business, Not Just the Code

Our team has shipped production data work for founders, CFOs, and analytics leads. We translate business questions into pipeline design decisions, not the other way around.

Multi Industry Engineering Experience

500+ technical deliverables across healthcare analytics, aviation, fintech, logistics, ecommerce, and SaaS. We have seen most data shape patterns, and we know exactly which ones bite at scale.

Ready for Handoff from Day One

Every pipeline we ship is designed to be owned by your team within 30 days. Our handoff checklist is every bit as rigorous as our build checklist.

150+ Companies Have Chosen VANDATATEAM

VanDataTeam is proud to partner with 150+ leading companies across 15+ countries, building lasting success through production grade AI Agent systems and data engineering expertise.

Ahrvo logo

Ahrvo

Banking, Payments & Compliance API

Athenahealth logo

Athenahealth

Clarify IQ logo

Clarify IQ

Cleargen logo

Cleargen

Conversion Finder logo

Conversion Finder

Debit My Data logo

Debit My Data

Ellipsis Earth logo

Ellipsis Earth

Litter and pollution intelligence

Finance Scaler logo

Finance Scaler

Forskningslogen Friederich Munter logo

Forskningslogen Friederich Munter

HBC logo

HBC

Hello Alma logo

Hello Alma

Hudson's Bay Company logo

Hudson's Bay Company

Kejora logo

Kejora

Kiki AI logo

Kiki AI

Lunada logo

Lunada

OBJX logo

OBJX

Praxis AI logo

Praxis AI

Human-First Digital Twin AI

Rarity Capital logo

Rarity Capital

Re Talk Py logo

Re Talk Py

Setmore logo

Setmore

Stock Exploit logo

Stock Exploit

Supply Bridge logo

Supply Bridge

Thrive 5 IR logo

Thrive 5 IR

Voodoo logo

Voodoo

Iconic apps and games

Wajooba logo

Wajooba

White Ribbon Alliance logo

White Ribbon Alliance

With Words logo

With Words

You Heal logo

You Heal

What Happens After Your Pipeline Goes Live

Included with Every Project

  • 30 to 60 days of free support after launch
  • Bug fixes, tuning, and team questions covered
  • Full source code ownership from day one
  • Infrastructure in your own cloud accounts
  • Complete documentation package

Optional Monthly Retainer

  • 10 to 40 hours per month
  • Pipeline monitoring and on call coverage
  • Quarterly architecture reviews
  • Brand new source additions whenever you need them
  • No minimum past the first month

Frequently Asked Questions

The average cost for data pipeline development at Van Data Team typically ranges from $500 to $2,000 for standard implementations. For large scale enterprise projects with complex architectures, we offer custom packages starting at $4,000. The final investment varies based on data sources, transformation complexity, and required latency.

A data pipeline is production grade when a new engineer can be paged at 3 AM, open the runbook, and fix the issue without calling the person who originally built it. Concretely, that means idempotent DAG design, schema contract enforcement, SLA alerts, retry policies with exponential backoff, and full lineage documentation.

Most pipelines take 2 to 6 weeks from kickoff to go live. Simple builds on existing infrastructure finish in 2 to 3 weeks. Full multi source pipelines with dbt, Airflow, and monitoring take 4 to 6 weeks. Streaming or multi region deployments typically run 6 to 12 weeks.

Our default stack: Apache Airflow for orchestration, dbt for SQL transformation, Airbyte for common source ingestion, custom Python for rare APIs, BigQuery or Snowflake as the warehouse, Great Expectations for data quality, and Datadog or Grafana for monitoring. For streaming we use Apache Kafka or Google Pub/Sub. We ship on GCP, AWS, and Azure.

Nope, roughly 35% of our engagements start from the ground up. Van Data Team manages the full stack setup including cloud configuration, warehouse provisioning and expert tool selection. For established infrastructures we integrate into your environment to optimize and scale your existing data operations.

Yes. That is the goal. Every pipeline ships with a runbook covering common failures, a README per repo, dbt docs published to a URL, an architecture diagram, and a recorded 90 minute handoff session. If your team has basic Python and SQL skills, they can maintain the pipeline independently.

Our sales cycle is intentionally short. After an initial 30 minute architecture review, we deliver a written scope and quote within 24 to 48 hours. Once approved, development begins within 3 to 5 business days. Simple pipelines go live in 2 to 3 weeks.

Every project includes 30 days of free support after launch. After that, you have three options: maintain it in house using the documentation, engage us hourly for one off fixes, or move to a monthly retainer. Most clients handle maintenance in house after the second month.

Yes. We serve clients primarily in the US, UK, EU, and Australia, spanning 15+ countries to date. Engagements are fully remote, with time zone overlap handled through async Slack and Linear plus weekly sync calls inside the client's working hours.

Van Data Team is fully tool agnostic. Whether you run Prefect instead of Airflow or Redshift instead of BigQuery, we build to your specifications. We only recommend tool changes when we can mathematically prove reduced costs or improved reliability in an architecture decision log.

Our Team Is Ready to Help

After you reach out we respond within 24 hours to schedule a scoping call. Bring your current pipeline stack, a list of sources and three problems you want solved. We deliver a written recommendation and rough timeline. No deck and no pressure.

Tran Tien Van, Founder of Van Data Team, ready to help

Related Van Data Team service lines

AI Agent Development

Production LangGraph, CrewAI, OpenAI Assistants, and Claude tool-use workflows.

Web Scraping & Automation

Playwright-first scraping runtimes, proxy strategy, validators, and warehouse delivery.

Agentic BI & Reporting

Multi-agent reporting and narrative analytics on top of your governed warehouse.