I'm Hammad Tariq, an AWS Data Engineer with 5+ years building production-grade data platforms: ETL pipelines, cloud warehouses, and data architectures that cut cost and scale cleanly.
Hammad Tariq
AWS Data Engineer
Tools of the trade
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Whether it's orchestrating ETL or modelling a cloud data warehouse, the focus is always scalability, observability and clean execution.
I build the AWS data layer a business runs on: ETL/ELT pipelines, cloud warehouses on Redshift and Snowflake, and migrations off creaking on-prem systems. My focus is the unglamorous part: whether the platform still holds up when real data gets messy at 2am. Recent work cut operating costs by up to 99% and turned hours of manual effort into seconds. The AWS-cost lessons from that work are in my guide to cutting an AWS Glue bill.
Orchestrated ETL/ELT with Dagster, dbt and Airflow, from raw ingestion to analytics-ready warehouses.
Data marts and warehouses on Snowflake, Redshift and BigQuery: modelled, governed and query-fast.
Dockerised, CI/CD-driven deployments on AWS with cost optimisation and observability baked in.
Idempotent pipelines, isolated failure domains and graceful degradation, built to survive real data.
Real systems with measured outcomes: the problem, the architecture, and the numbers that moved.
Re-platforming a tier-1 banking EDW onto a cloud-native AWS warehouse
Led the migration of a major retail bank’s on-premises Enterprise Data Warehouse from Sybase to Amazon Redshift on AWS, re-engineering 800+ stored pro…
A 3-tier AWS Glue pipeline for assessment, measurement & analysis data
Built a 3-tier data architecture on AWS for an environmental-solutions provider, using AWS Glue, S3, Redshift, Lambda and PySpark to lift data-process…
Re-architecting on-prem ETL into AWS for 80% better resource utilisation
Led a data-warehouse migration to AWS for a pan-African financial-services group, moving 20–30 ETL scripts and stored procedures onto Glue, Redshift a…
AI Cost Attribution & Real-Time Outage Monitoring from Shared Provider Spend
Restores per-application cost visibility from a single shared AI invoice. A near-zero-touch SDK captures durable usage “receipts”, and invoice-anchore…
AI-Powered Multilingual OCR & Document Intelligence
Converts scanned PDFs and photographed forms into clean, structured Markdown across 10+ languages, including hard scripts like Urdu, Arabic and Amhari…
Hands-off SFTP-to-analytics for daily sales & stock data
An automated ELT pipeline that detects distributor files landing on SFTP, validates and homologates them, and lands analytics-ready data in S3 for rea…
Practical deep dives on data engineering, ETL and analytics: the decisions and the numbers behind real work.
AWS DMS copies your table data, not your stored procedures, indexes, triggers or validation. A practical guide to what Database Migration Service leaves you to do.
Learn the differences between the AWS Console, CLI and SDKs, how AWS control plane requests are authenticated, and which interface belongs in automation vs manual ops.
Learn how AWS Regions, Availability Zones and service scope affect latency, cost, compliance and resiliency. Choose the right AWS location with confidence.
Small, browser-based utilities I built. No signup, and nothing leaves your browser.
A few words from people I've delivered for.
“Skilled, flexible, and fast. Would hire Hammad again.”
“Excellent communication and amazing work with great execution.”
Three ways to engage, from a focused consultation to full end-to-end delivery.
From messy source data to analytics-ready warehouses that cut cost. Let's scope it. I reply within one business day.