Results-driven Data Engineer with around 5 years of experience designing, building, and optimizing large-scale data pipelines, cloud architectures, and analytics platforms for banking, fintech, e-commerce, logistics, and consulting domains. Proven expertise in ETL development, big data processing (Hadoop, Spark, Hive), cloud data engineering (AWS, GCP, Azure), and data warehousing (Snowflake, Amazon Redshift, Google BigQuery). Adept at SQL optimization, dimensional modeling, and data quality governance, delivering measurable gains in processing speed, cost efficiency, and SLA compliance. Skilled in automation with Apache Airflow, AWS Glue, and CI/CD pipelines, enabling near-real-time analytics for datasets exceeding billions of records daily. Strong track record of collaborating with cross-functional teams to deliver business-critical insights, reduce operational costs, and support enterprise-scale decision-making.
Results-driven Data Engineer with around 5 years of experience designing, building, and optimizing large-scale data pipelines, cloud architectures, and analytics platforms for banking, fintech, e-commerce, logistics, and consulting domains. Proven expertise in ETL development, big data processing (Hadoop, Spark, Hive), cloud data engineering (AWS, GCP, Azure), and data warehousing (Snowflake, Amazon Redshift, Google BigQuery). Adept at SQL optimization, dimensional modeling, and data quality governance, delivering measurable gains in processing speed, cost efficiency, and SLA compliance. Skilled in automation with Apache Airflow, AWS Glue, and CI/CD pipelines, enabling near-real-time analytics for datasets exceeding billions of records daily. Strong track record of collaborating with cross-functional teams to deliver business-critical insights, reduce operational costs, and support enterprise-scale decision-making.