I will build scalable data pipelines, etl workflows, and cloud data architecture

Imagine having a reliable and scalable data pipeline that ingests data from multiple sources, processes it in real time or batch, and delivers clean, analytics-ready data you can trust. I help businesses design and build production-ready data engineering solutions tailored to their goals.

With 8+ years of hands-on experience, I create secure, efficient, and scalable data platforms for startups and enterprises.

My Skills

• Strong proficiency in Python, SQL, and Bash
• ETL / ELT pipelines and data orchestration
• Apache Kafka, Airflow, Spark, and NiFi
• Data warehouses and data lakes (Redshift, Snowflake, BigQuery, Databricks)
• Cloud platforms (AWS, Azure, GCP)
• Docker, Kubernetes, and CI/CD pipelines
• Data modeling, schema design, and performance optimization

What I Do

• Data Engineering
• Design and maintain scalable ETL/ELT pipelines.
• Streaming & Automation
• Build event-driven and streaming pipelines using Kafka and Python.
• Data Quality & Reliability
• Implement validation, logging, and monitoring.
• Cloud & DevOps Integration
• Deploy cloud-native, containerized data solutions.

Please Message me to discuss your requirements.