Open to opportunities

Muhammad Ahmed Saeed

@muhammadahmedsaeed

Message

I build production backend systems and data pipelines with Python, cloud platforms, and modern analytics tooling.

Pakistan

Message

What I'm looking for

I'm looking to own scalable backend and data platforms end-to-end, build reliable cloud pipelines, and contribute to teams that value strong engineering standards, mentorship, and measurable operational impact.

I've built production backend systems, ETL pipelines, and analytics platforms for Datum Labs, WatchMyCompetitor, and Dev Geeks Inc. At Datum Labs, I built Easyflow, a one-click platform integrating Airbyte, Apache Superset, and GKE with embedded analytics and 10 data-store connectors.

My work spans Python services and REST APIs with Django, FastAPI, and Flask, alongside Airflow, dbt, and Airbyte pipelines across PostgreSQL, Snowflake, BigQuery, MySQL, and MongoDB. I’ve deployed scalable solutions on AWS and GCP, owned projects end-to-end, and mentored junior engineers through code review and engineering processes.

At WatchMyCompetitor, I built scraping and data-processing systems for 25+ sources and reduced GKE Autopilot costs from $500 to $100 per month without losing reliability. I also have experience integrating computer vision, image-recognition, recommendation, and time-series prediction models into production work.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Datum Labs

Oct 2025 - Mar 2026 (5 months)

Led data engineering across cloud infrastructure, ETL pipelines, and analytics, progressing to senior with project ownership and team mentorship. Built and maintained Airflow and Airbyte pipelines across PostgreSQL, Snowflake, MySQL, and MongoDB, and designed dbt transformation layers on AWS and GCP.

Airflow Airbyte DBT PostgreSQL Snowflake MySQL MongoDB AWS GCP Docker Kubernetes Terraform CI CD

Python Developer

WatchMyCompetitor

Feb 2025 - Sep 2025 (7 months)

Built and operated large-scale backend scraping and data-processing systems feeding downstream analytics.
Scraping at Scale: Built systems pulling data from sources using Scrapy on
Zyte and custom scrapers on Kubernetes processed MBs daily and GBs weekly.
Data Automation: Wrote custom Python modules for cleaning, normalization, and automation routed output to PostgreSQL and BigQuery.

Python SQL GCP Kubernetes CI CD ETL Scrapy Selenium PostgreSQL BigQuery GKE Grafana

Senior Python Engineer

DatumLabs

Jan 2024 - Feb 2025 (1 year 1 month)

Promoted to lead data-centric backend projects across Engineering, DevOps, and Analytics. Architected modular ETL pipelines with Apache Airflow for real-time and batch processing. Built Easyflow, integrating Airbyte, Apache Superset, GKE, embedded analytics, and 10 data-store connectors. Owned end-to-end project delivery, scope, timelines, and technical design.

Python SQL AWS CI CD GCP ETL ELT Snowflake Docker Data Engineering PostgreSQL Sybase GitHub Actions Django Flask

Python Engineer

DatumLabs

Oct 2022 - Jan 2024 (1 year 3 months)

Architected and deployed scalable backend and data solutions across cloud environments.
Designed and optimized microservices and backend workflows, deployed across Cloud for scalability and reliability.
Managed large-scale datasets across Various DBs optimizing schema design and query performance.
Built robust ETL pipelines with Airflow and Airbyte and ran modular transformations with dbt.