Hammad Z.

🚨 Struggling with messy data, failing pipelines, or delayed dashboards? 🚨 Tired of unreliable workflows, slow queries, or inconsistent reporting data? 🚨 Is your team blocked by outdated scripts, scattered files, or broken integrations? I help startups and data-driven teams turn chaotic data into fast, reliable, analytics-ready systems. With 3+ years of hands-on experience in designing and maintaining production-grade data platforms, I build the backend systems that power your reporting, automation, and decision-making from raw ingestion to trusted datasets. ✅ What I Can Help You With: ▸ Design and implement end-to-end ETL/ELT pipelines ▸ Clean, validate, and transform raw data into structured models ▸ Build scalable batch and streaming pipelines using modern tools ▸ Integrate and orchestrate data workflows across cloud platforms ▸ Optimize SQL queries and model schemas for performance ▸ Implement data quality checks, logging, and monitoring 🔥 My Specialties: ▸ ETL/ELT Pipelines: Apache Airflow, DBT, Azure Data Factory, AWS Glue ▸ Big Data Platforms: Delta Lake, Databricks, Spark ▸ Cloud & Warehousing: AWS (S3, Redshift, Lambda), GCP (BigQuery, Cloud Functions), Snowflake ▸ Databases: PostgreSQL, SQL Server, MySQL, MongoDB ▸ Languages & Tools: Python (Pandas, NumPy, SQLAlchemy), SQL, Bash ▸ Automation & Monitoring: n8n, Supabase, Prometheus, CI/CD pipelines 🌟 Why Work With Me: ✅ 3+ years of experience in real-time and batch data systems ✅ Solid foundation in both relational and big data architecture ✅ Ability to deliver clean, modular, and testable pipelines ✅ Strong communication, clear documentation, and proactive delivery ✅ Focus on scalability, maintainability, and performance 📩 Let’s Talk If you're looking for someone who can bring clarity, control, and confidence to your data stack — I’m here to help. I was hoping you could invite me to your project, and let’s build systems that grow with your business.