Muhammad Hamza J.

⭐️⭐️⭐️⭐️⭐️ “Hamza transformed our scattered data into a clean, scalable, and analytics-ready system. His command over modern data pipelines, orchestration, and cloud platforms made our transition seamless from day one.” – CTO, US-based Startup Are you looking for a Data Engineer who can design, build, and optimize end-to-end data ecosystems... from ingestion and transformation to analytics and machine learning readiness? I help startups and teams turn raw, messy, and siloed data into reliable, insight-driven systems — enabling everything from BI dashboards to AI model pipelines. 🧠 Core Data Engineering Expertise ✅ Data Pipeline Development – Batch & streaming pipelines using Airflow, Prefect, or Dagster ✅ ETL / ELT Workflows – Building robust data transformation layers with dbt and Python ✅ Data Warehousing – Designing scalable warehouses in Snowflake, BigQuery, or Redshift ✅ Data Lake Architecture – Implementing lakehouses on AWS S3, GCP, or Azure Data Lake ✅ Real-Time Data Processing – Kafka, Spark Streaming, or Flink for event-driven systems ✅ Data Modeling & Quality – Star/snowflake schema design, validation, and observability ✅ APIs & Automation – Building FastAPI / Flask APIs to integrate or expose data services ⚙️ Tools & Tech Stack Languages: Python, SQL, Bash Frameworks: Airflow, dbt, Spark, Pandas, PySpark Databases: Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB Cloud & Storage: AWS (S3, Glue, Lambda), GCP (Dataflow, BigQuery), Azure Orchestration: Airflow, Prefect, Dagster DevOps & Deployment: Docker, Terraform, GitHub Actions, CI/CD Monitoring: Great Expectations, DataDog, Prometheus 🔍 What I Deliver End-to-end ETL/ELT pipelines optimized for reliability and scalability Data warehouses and lakehouses are ready for BI and ML workloads Real-time data streaming and ingestion from multiple sources Automated data validation and observability to ensure accuracy Secure, cloud-native infrastructure that grows with your business 💬 Why Clients Choose Me I don’t just move data... I build data systems that deliver trust, speed, and insight. Every project includes structured documentation, reproducible pipelines, and deployment automation, so your team can scale with confidence. If you need a Data Engineer who can transform fragmented data into a high-performance, analytics-ready ecosystem; Let’s connect.