Priya Laxmikant Wattamwar

• Facilitated daily stand-ups, sprint planning, reviews, and retrospectives for cross-functional teams of 6–10 members, ensuring smooth sprint execution.
•Coached teams on Agile principles and the Scrum framework, improving sprint predictability and team collaboration.
• Removed impediments proactively, resulting in a 25%–30% improvement in delivery timelines.
•Coordinated with Product Owners to create and refine product backlogs, user stories, and acceptance criteria, ensuring alignment with business priorities.
•Led 3+ concurrent Agile teams, delivering high-quality features within planned scope and time.
•Improved sprint velocity by 15% through capacity planning, workflow optimization, and continuous improvement initiatives.
•Introduced data-driven KPIs (velocity, burndown, cycle time) to enhance transparency and decision-making.
•Conducted regular retrospective action tracking, leading to sustained process improvements and reduced recurring blockers.
• Implementation of data quality, data validation, and monitoring the Airflow automation jobs and AWS services like EMR, Glue jobs, Lambda, and the backfilling for the response data in case of delay of the source files.
• Troubleshooting and resolved technical issues related to Apache Airflow workflows and DAGs, ensuring high availability and minimal downtime. Improved workflow performance by optimizing DAG execution and reducing data processing time.
• We gather use cases for data history and apply lifecycle policies to archive and removed ~1PB of unused data. We are also educating teams on rightsizing manual clusters appropriately. Furthermore, we have updated instance types for over 175 automations based on their usage patterns.
• Led the initiative to reduce AWS costs by approximately 1 PB of unused data via lifecycle policy enforcement and supported project upgrade activities and routine release deployments.

• Participated in daily Agile ceremonies and collaborated with the Product Owner to refine user stories.
• Maintained JIRA dashboards for project tracking, and facilitated backlog grooming and sprint reviews.
• Supported project upgrades and release deployments in Agile sprint cycles.
• Built and monitored scalable ETL pipelines using AWS Glue, PySpark, and Redshift.
• Ensured high-quality data ingestion by performing validation, schema checks, and data transformation.
• Resolved production issues and collaborated with cross-functional teams on continuous delivery efforts.