Data Pipeline and Workflow Development:• Implemented data pipelines for seamless data ingestion, processing, and storage.• Developed ETL workflows using AWS Glue, Apache Spark, and NiFi, processing millions of records daily, resulting in an annual cost saving of approximately $50,000 through optimized resource utilization.• Automated workflows with Apache Airflow, efficiently managing over 9,000 daily tasks.Data Storage and Management:• Optimized data lakes and data warehouses, improving retrieval speed and reducing storage costs.• Employed data governance best practices like lineage tracking to ensure data integrity for large tables.• Engineered complex SQL queries, optimizing database performance for large datasets.• Designed and optimized data models for databases with over 70 tables and 60 million rows.• Maintained OLTP and OLAP systems, ensuring efficient transaction processing and query performance.Collaboration and Documentation:• Collaborated with data scientists and stakeholders to prepare extensive datasets for ML models.• Worked with domain experts to understand business requirements and translate them into data solutions.• Created documentation detailing various activities such as data architecture, pipelines, and root causes.• Participated in code and design reviews to ensure alignment with technical standards and best practices.

Analyzed satellite data to boost channel reliability and Optimize Communication Systems.• Enhanced Navigation Accuracy by Leveraging system diagnostics to achieve 98% precision.• Optimized radar and ADS-B tracking to improve Surveillance Efficiency and accuracy by 20%• Created data-driven reports enhancing insights into the CNS system and improving decision-making efficiency