Anjali Ajayan

• Successfully migrated data from a Tabular database to an AWS Glue Catalog-based Iceberg database, ensuring seamless business continuity and minimal downtime.

- Rewrote metadata files using predefined procedures to align with the new data location.

- Registered copied tables with the AWS Glue Catalog and refactored Spark transformations to integrate with the new architecture.

- Enabled table optimization in Glue using Airflow DAGs for enhanced performance.

- Ensured data integrity by implementing and executing a comparison DAG to validate data consistency between the source (Tabular) and target (Glue) databases post-migration.

• Designed and implemented ETL pipelines and database schemas for activation workflows using Postgres and Data Lakehouse (DLH) technologies.
• Developed and maintained dashboards to monitor data availability and ensure operational reliability.

• Lead python developer and data engineer for Keystone Services - a pay-as-you-go STaaS (Storage as a Service) offering that delivers a seamless hybrid cloud experience with significant global customer base
• Migrated 9 TB of data from a time-series database to Tabular Data Lakehouse to help scale with the growing business needs
• Developed schemas for Iceberg tables and ClickHouse DB utilizing SQL and Python to enhance data structure
• Transformed raw data into insights using PySpark and Pandas/Polars, adhering to medallion architecture. Leveraged Trino query engine for accessing data from gold tables for reports and APIs
• Developed Superset dashboards for data validation, enhancing operational efficiency in data operations activities.
• Demonstrated strong focus on customer satisfaction through automation of daily performance reports via optimised Airflow DAG. This initiative resulted in significant developer time and optimised use of resources.
• Led a team of 5 engineers in implementing a resilient testing mechanism that detected issues at an earlier stage in the pipeline. This proactive approach decreased the duration of QA test cycles by 3 days (~15% reduction) and enhanced the dependability and precision of the components.
• Actively served as a project steering committee member involving global cross-functional teams, to understand project requirements and ensure timely releases adapting Agile methodology
• Successfully recruited and mentored 10+ new team members, enhancing the organisation's capabilities and fostering team cohesion

• Project lead and backend developer for Fusion - a tool used to predict the performance metrics of storage systems for various NetApp products and OEMs application types (Python, FAST REST APIs, C)
• Led the team towards successful quarterly releases by adding performance modelling support for all new ONTAP (storage OS) products and features
• Drove end-to-end implementation of a significant feature in Fusion (Quotability). This improved tool usage by 20% and resulted in incremental sales.
• Created a proof of concept (POC) for a simplified Greenfield sizer design with scalable modeling logic
• Streamlined codebase for increased efficiency with regular refactoring and optimization efforts.
• Developed secure applications by implementing industry-standard security practices and protocols (Blackduck scan).
• Established coding standards across the engineering team to ensure uniformity in style and approach among all developers.

• Enhanced API functionality through feature additions and improvements as backend developer for Fusion tool (tool to size and design configurations based on performance and capacity requirements).
• Evaluated performance impacts of multiple ONTAP features (disk partitioning and data protection) and implemented them in Fusion.
• Took ownership of advanced disk partitioning feature, resolving legacy issues and improving recommendation accuracy by 10%.
• Achieved organizational recognition for rapid ramp-up and strong project ownership demonstrated.

• Contributed to a cross-functional project aimed at simplifying Application Provisioning Manageability
• Programmed default templates using C and PHP for 5 different storage application types to make provisioning efficient for the customers