Badges
Certifications
Work Experience
Big Data Engineer
Infosys•  April 2024 - Present
Developed and optimized data pipelines for the Apple Ads Platform using Apache Spark, Python, and AWS Glue, enhancing customer experience and contributing to a 25% increase in ad revenue by enabling efficient targeting and improved ad delivery. Increased accuracy for clicks and video impressions by 40% through advanced data validation and real-time processing with Apache Kafka, Spark Structured Streaming, and PostgreSQL, ensuring higher customer engagement. Improved pipeline resiliency with Apache Airflow, Kubernetes, and Docker, implementing robust error-handling mechanisms, ensuring 95% uptime and reliable data processing for global advertising campaigns. Gained hands-on experience in deploying applications using Rio, enhancing CI/CD workflows, and reducing deployment times.
Big Data Engineer
Assistive•  May 2022 - April 2024
Experienced in configuring and managing AWS Glue triggers to automate ETL processes based on predefined events or schedules, ensuring timely and accurate data updates. Developed interactive dashboards using Amazon QuickSight, enabling stakeholders to visualize and analyze data from the data lake, providing valuable insights and facilitating data-driven decision-making.
Education
Heritage Institute of Technology
Electronics and communication engineering•  January 2018 - January 2022•  null: 8.48