• Improved the functionality of data pipelines by adjusting the cadence from monthly to weekly, optimizing data flow and processing efficiency.• Implemented robust monitoring solutions using AWS CloudWatch, setting up various checks and alarms to increase the reliability and uptime of applications.• Collaborated with data scientists to gather and understand data quality requirements. And designed and implemented a data quality engine using Great Expectations, ensuring data integrity. This engine was built to run with AWS ECS Fargate.• Developed and maintained Snowflake dashboards to visualize and publish data quality metrics and results.• Regularly triaged and resolved bugs identified by the data quality engine in collaboration with the data science team.• Established Snowflake-based monitoring systems to oversee processes within Snowflake, including creating alerting mechanisms via AWS SES, SNS, and integrating with ServiceNow and Jira for incident management• Developed and implemented ETL jobs in Snowflake and Python as part of feature engineering requirements provided by data science teams• Productionized machine learning models using Azure DevOps pipelines, orchestrating workflows with Apache Airflow to ensure smooth deployment and operation.• Led the migration of data consumption from legacy sources to the Enterprise Data platform in Snowflake

• Provisioned AWS EC2 instances and S3 buckets using Bamboo for CICD.• Deployed website source code to EC2 instances and hosted the application using IIS webserver.• Successfully restored and connected databases to backend code, ensuring full functionality of thewebsites post-migration.• Created documentation of the entire migration process, including a runbook for troubleshooting andsupport to facilitate ongoing maintenance.• Developed and managed data pipelines using AWS Glue, optimizing data processing andtransformation workflows.• Collaborated on a POC to implement data migration from SQL Server to Amazon RDS using DMS• Conducted a POC to restore database snapshots across different AWS regions, ensuring cross-regiondisaster recovery capabilities.