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Tech Lead, Backend and Data Platform

Umair Mirza

I lead a team of 10+ engineers and build geospatial data platforms on AWS: Airflow pipelines for satellite imagery, a TB-scale geospatial data lake with Apache Iceberg and Trino, and Go services.

  • Lahore, Pakistan · Farmdar (Series A agritech)
  • Open to remote roles and relocation (Netherlands, Ireland, Germany, Luxembourg)
Umair Mirza
engineers led
10+engineers led
API requests a day
100K+API requests a day
geospatial data on S3
TB-scalegeospatial data on S3
YieldPro revenue
$200K+YieldPro revenue
of acres covered
Millionsof acres covered
lower AWS spend
62%lower AWS spend

About

What I do

I'm the tech lead for backend and data platform at Farmdar, a Series A agritech company. I lead a team of 10+ engineers and own the platform end to end, from the Airflow pipelines that process satellite imagery to the TB-scale data lake and the Go backend that serves 100K+ requests a day.

Our products cover millions of acres, and the API is used in production by FFC, Corteva, Engro and Kubota. I enjoy data platforms, geospatial problems and helping a team ship good systems.

I'm open to remote roles and to relocating to the Netherlands, Ireland, Germany or Luxembourg.

Experience

Where I've worked

  1. Farmdar

    Series A agritech · Lahore, Pakistan

    1. Tech Lead, Backend and Data Platform

      Feb 2025 - Present
      • Lead a team of 10+ engineers; own architecture, code review and delivery across backend, data and infrastructure.
      • Designed the lakehouse layer of a TB-scale geospatial data lake: Apache Iceberg tables on AWS S3 Tables and Trino as one SQL layer over the lake and the PostGIS production database.
      • Built OAuth authentication on AWS Cognito, used by every Farmdar application, and consolidated separate services into one Go backend handling 100K+ daily requests, with P95 latency down 40%.
      • Automated the 3 m Planet imagery pipeline (plant health, stress and productivity-zone maps), cutting delivery from weeks to hours; built 10+ Airflow DAGs and a custom Airflow-Kubernetes operator, cutting manual work by 70%.
      • Own infrastructure as code with Terraform, Helm and GitHub Actions, cutting deployment time by 60%; led a cost review that cut AWS spend by 62%. Launched a production API adopted by FFC, Corteva, Engro and Kubota, and built a crop water requirement tool for the FAO.
    2. Software Engineer II

      Jan 2024 - Jan 2025
      • Led development of YieldPro, a crop-monitoring platform built from scratch, generating $200K+ in revenue and serving 50K+ farmers.
      • Automated satellite image analysis with Apache Airflow, improving data throughput 3x.
      • Introduced role-based access control (RBAC) and built a PostGIS tile server for vector and raster tiles.
      • Delivered an Angular geospatial app for real-time map analytics, cutting user task completion time by 50%.
    3. Software Engineer

      Mar 2023 - Dec 2023
      • Designed MongoDB schemas for geospatial and agronomic datasets and built an internal React console for managing map layers.
      • Refactored a legacy React/Redux and Kepler codebase and supported its migration to Mapbox GL JS.
  2. Tectiers GmbH

    Fintech, part-time remote contract · Vienna, Austria

    1. Software Engineer

      Oct 2022 - Sep 2023
      • Built Apache Airflow pipelines for BMW's enterprise reporting platform, automating data extraction and weekly database restores across environments.
      • Built a fintech analytics platform with Angular, Django and PostgreSQL.
      • Wrote a Python transpiler that converts Excel/VBA logic into native Excel functions with 95% functional parity.
  3. FAST-NUCES

    University · Lahore, Pakistan

    1. Teaching Assistant

      Feb 2022 - May 2023
      • Mentored 100+ students in Android (Kotlin) and distributed computing (MPI, OpenMP).

Selected work

What I've built

One SQL layer, TB-scale data

Geospatial data lake and query layer

An Apache Iceberg lakehouse on AWS S3 Tables with Trino as a single SQL layer over the lake and the PostGIS production database, signed in through Cognito.

Analysts and ML engineers query lake tables and live production data from one place, with access controlled by Cognito groups.

S3 TablesApache IcebergTrinoPostGISPyIcebergTerraform

Read the case study

Data platform architecture: satellite imagery and field surveys flow through Airflow on EKS into S3, Iceberg tables on S3 Tables and PostGIS; Trino queries the lake and PostGIS; a Go backend secured with Cognito serves Farmdar apps and the partner API.

Weeks to hours

Satellite imagery pipelines

Production Airflow on Kubernetes for satellite imagery: Planet 3 m ingestion delivered straight to S3, an operator that runs each Jupyter notebook in its own pod, and the reporting pipelines on top.

Throughput up 3x, manual work down 70%, Planet imagery delivery from weeks to hours, and AWS spend down 62%.

Apache AirflowKubernetesPapermillPlanet APIGDALPython

Read the case study

$200K+ revenue

YieldPro

A crop-monitoring platform built from scratch: field subscriptions in PostGIS, Airflow pipelines that produce per-field crop-health reports, vector tiles served from the database, and an Angular map interface.

$200K+ in revenue and 50K+ farmers served.

GoPostGISApache AirflowAngularMapbox GLAWS

Read the case study

4 backends into 1

Unified Go backend and Cognito sign-in

Merged four product backends into one Go service and moved every application to AWS Cognito sign-in, with a scoped partner API at the edge.

100K+ daily requests, P95 latency down 40%, and a production API adopted by FFC, Corteva, Engro and Kubota.

GoAWS CognitoOAuth 2.0PostGISAPI GatewayKubernetes

Read the case study

FAO, yield, CropScan

CropScan in progress

Crop intelligence: from models to products

The engineering that turns crop models into products: the FAO crop-pattern planning platform, a pixel-level corn and soybean yield pipeline, and CropScan, which I'm building now.

Models built by the data science team run as scheduled pipelines and ship to clients and the FAO as products, not notebooks.

FastAPIAngularPostGISApache AirflowGoogle Earth EngineTensorFlow

Read the case study

Also

Roman Urdu Compiler · A compiler and virtual machine in C++ with an LL(1) parser and bytecode execution.
Platformer in x86 assembly · A Mario-style platformer for DOS in 16-bit x86 assembly, drawing straight to text-mode video memory with a custom keyboard interrupt handler.

Skills

Stack

Languages
  • Go
  • Python (Airflow, FastAPI, Django, GDAL, Rasterio, NumPy, Pandas)
  • TypeScript (Angular, React)
  • SQL
Data and geospatial
  • Apache Airflow
  • Apache Iceberg
  • AWS S3 Tables
  • Trino
  • Spark
  • PostgreSQL
  • PostGIS
  • MongoDB
  • Google Earth Engine
  • TensorFlow
  • Mapbox GL
Cloud and infrastructure
  • AWS (EKS, RDS, S3, Cognito, IAM)
  • Kubernetes
  • Terraform
  • Helm
  • GitHub Actions

Education

Background

BS Computer Science, FAST-NUCES, Lahore

2023
  • Dean's List, four consecutive semesters
  • Teaching Assistant

Contact

Get in touch

The fastest way to reach me is email. Remote, UTC+5, overlaps European working hours.