Productive in weeks
Typically two to four weeks from scoping to a productive start.
Hire data engineers
Hire data engineers who already know ad data.
Add senior data engineers from our Lahore and Bengaluru teams to your own, with hours that overlap your US, UK or UAE working day. They specialize in marketing and ad data: Amazon Ads API and SP-API, dbt, Snowflake, BigQuery and Airflow.
- Lahore and Bengaluru
- US, UK and UAE hours
- Ad data specialists
What you get
Senior capacity, without a hiring cycle.
Hours that overlap yours
Schedules set around US, UK or UAE working days.
Ad data is the specialty
Amazon, Walmart, Google, Meta and TikTok pipelines are daily work.
Scale up or down
Add engineers for a build, then scale back.
The problem
Why data engineers are hard to hire.
Senior data engineers are scarce, and ones who know ad platform APIs are scarcer. A direct hire typically takes two to four months before they're productive, and a generalist still has to learn attribution windows, restatements and rate limits on your time. Staff augmentation gets you engineers who already do this work, on a timeline measured in weeks.
Where our engineers work
Lahore and Bengaluru teams, working your hours.
TechEsthete is a data engineering company in Pakistan, founded in Lahore in 2013 and focused on ad and ecommerce data. Our Bengaluru office means you can also hire from a data engineering company in Bangalore without adding a second vendor. Offices in Sharjah, UAE and Surrey, BC, Canada round out the team, and engineers work hours that overlap the US, UK or UAE day.
Skills
What our engineers work on.
- Amazon Ads API and SP-API integrations, plus Walmart Connect, Google Ads, Meta and TikTok APIs
- ETL and ELT pipelines in Python and SQL, orchestrated with Airflow or Dagster
- Warehouses on Snowflake, BigQuery or Redshift, modeled and tested in dbt
- Dashboards in Looker Studio, Power BI, Looker or Tableau
- Monitoring, retries and alerting for production pipelines
- AWS, GCP and Azure infrastructure with Terraform
How we work
How we run it.
Scope the role
The skills, stack and hours the gap needs, and how the engineer will work with your team.
Match
Engineers with relevant, verifiable project history, for you to interview.
Onboard
Into your repos, tools and standups, reporting to your leads.
Review fit
A fit review in the first few weeks, with an easy off-ramp if it isn't right.
What we use
Tools, platforms and methods.
- Python
- SQL
- dbt
- Airflow
- Snowflake
- BigQuery
- Redshift
- Amazon Ads API
- SP-API
- AWS
- GCP
Related work
Projects we've delivered.
120+ automations live
Tinuiti
We rebuilt the ETL, warehouse and automation layer across Amazon, Walmart, TikTok, Instacart and Criteo.
Read the case study
One pipeline, every client account
SellerFuse
We built the SP-API and Ads API pipelines, live dashboards and automation behind SellerFuse.
Read the case study
Risk scores in 5 min
Protego
We built Protego's SP-API backend: secure OAuth, ingestion pipelines and the Reports API workflow.
Read the case studyFAQ
Common questions.
How fast can a data engineer start?
Typically two to four weeks from scoping to a productive start, depending on how specialized the stack is.
Which hours do your engineers work?
Schedules are set so the engineer overlaps your working day, whether your team is in the US, the UK or the UAE, and joins your standups and calls.
Are the engineers in Pakistan or India?
Both. Our teams work from Lahore, Pakistan and Bengaluru, India. We match on skills and hours first, then location.
What does it cost to hire a data engineer?
It depends on seniority, skills and the length of the engagement. We don't publish rates; tell us what you need and we'll send a written proposal after a free 30-minute call.
Staff augmentation or a managed team?
With staff augmentation the engineer works inside your team and your leads direct the work. If you'd rather we own delivery against a scope or roadmap, a dedicated team or a scoped project fits better.
Can we hire the engineer directly later?
Yes. Clean handover terms for converting to a direct hire are agreed up front.
Go deeper
Guides from our engineers.
Guide
How to Build a Marketing Data Warehouse with dbt and Snowflake
A practical guide to building a marketing data warehouse with dbt and Snowflake: architecture, modeling layers, metric definitions, and the mistakes that sink these projects.
Read the guideGuide
ETL Pipelines for Amazon Sellers: How to Unify SP-API, Ads API, and Inventory Data
Amazon sellers juggle data across SP-API, the Ads API, and spreadsheets. Here's how a proper ETL pipeline unifies it into one reliable source of truth.
Read the guideGuide
How to Scale an Amazon Agency: Data Infrastructure Lessons from 35 to 3,500 Clients
Scaling an Amazon agency from dozens to thousands of clients breaks manual reporting completely. Here's the infrastructure that makes that scale possible.
Read the guideRelated
Related services.
Staff augmentation
Vetted senior engineers added to your team and workflow, in weeks.
Learn moreAmazon Ads API development
Hire Amazon API developers for integrations, reporting, Marketing Stream and AMC.
Learn moreAd data engineering
Pipelines, ad platform integrations, warehouses and monitoring.
Learn moreAdd a data engineer to your team.
Tell us the skills, stack and hours you need. We'll match engineers with relevant project history.