Designed and developed efficient data pipelines using AWS services such as Glue, Lambda, and EMR facilitating smooth data extraction transformation and loading processes Frequently used S3 for storage, Athena for querying, and Amazon Redshift for data warehousing Utilized AWS Glue or ETL scripts to transform raw data into structured formats, improving data qualitySetup comprehensive monitoring using Cloudwatch and integrated logging to monitor data flowsResolved errors caused by data load failure by analyzing logs, diagnosing root causes in hard-coded SQL/Python code, and applying effective solutions to maintain data accuracy and availabilityConfigured task schedules using Airflow’s scheduling capabilities, closely monitored task executions, and managed task retries to ensure high data pipeline reliabilityImplemented robust error-handling mechanisms within Airflow workflows, allowing for graceful failure recovery and minimizing data processing disruptions

Worked on Social Media Marketing, Google Ads, Google Analytics, Google My Buisness

Project on Plastic Waste Management. Field - Marketing