Ritesh K

WORK HISTORY

EDUCATION

ABOUT RITESH K

Data Engineer with 6+ years of experience in developing and optimizing scalable data pipelines and ETL processes across AWS, Azure, and Snowflake. • Developed secure customer segmentation platforms using Django REST APIs, increasing engagement by 20%. • Managed comprehensive dataset reporting aligned with business objectives and KPIs throughout project lifecycles. • Implemented A/B testing frameworks, achieving a 15% increase in conversion rates through data-driven insights. • Enhanced data transformation efficiency by 30% using PySpark on Databricks. • Engineered real-time data pipelines with AWS Lambda and Kinesis Firehose for accurate sales data ingestion and integrity. • Designed and executed ETL pipelines using AWS Glue, automating data extraction, transformation, and loading. • Consolidated extensive datasets into Amazon Redshift for KPI reporting, facilitating informed business decisions. • Enhanced data processing speed by 40% using Hadoop and AWS EMR with PySpark. • Established automated data quality checks, improving accuracy by 25% and proactively identifying risks. • Developed interactive visualizations and reports using Tableau and Power BI, focusing on actionable insights. • Optimized SQL query performance for improved execution speed and resource efficiency on large datasets. • Created dynamic dashboards and reports to support data-driven decision-making. • Implemented CI/CD pipelines using Jenkins and Docker, ensuring high code quality and streamlined deployments. • Collaborated in Agile methodologies, actively participating in Scrum ceremonies for project alignment and timely delivery. • Automated routine tasks using shell scripting, significantly improving operational efficiency and reducing manual errors. • Committed to continuous learning and staying updated with industry trends while effectively collaborating with cross-functional teams.