- Served as the DataOps lead for a data platform team, responsible for PR approvals, infrastructure design, and implementing security and data governance best practices, ensuring robust and compliant data operations.- Developed and maintained high-quality Python code for various applications, emphasizing best practices such as unit testing to ensure reliability and maintainability.- Contributed to the architecture and maintenance of Terraform code for a comprehensive data platform, implementing modules and managing diverse components from Confluent and AWS to optimize scalability and maintainability.- Developed and managed complex CI/CD workflows using GitHub Actions within a monorepo for a data platform, encompassing user management, Terraform deployment, and data governance, ensuring best practices for security and reliability.- Contributed to chaos engineering initiatives, making a Data Platform robust, scalable, and resilient to service outages.- Designed and implemented ETL data pipelines using low-code platforms such as Azure Data Factory and SnapLogic.- Developed Spark-based transformation pipelines, optimizing data processing and analytics capabilities across multiple datasets.

- Developed a serverless API using Azure Functions, improving scalability and reducing infrastructure costs.- Developed data pipelines using Apache Airflow, enabling more efficient and automated data processing.- Created SSIS pipelines to extract, transform, and load data from various sources into our data warehouse, improving data accuracy and consistency.

- Extracted data from API sources and web scraping, enabling the company to leverage a broader range of data sources for analysis.- Contributed to the development of a ReactJS web application.

- Responded to service requests and resolved issues related to the company's system, providing timely and effective solutions.- Assisted in the maintenance and administration of the company's IT infrastructure.- Collaborated with the IT team to identify and address technical challenges, contributing to the improvement of overall system performance.- Developed technical documentation and user manuals, improving communication and knowledge transfer across the IT team.- Provided technical support and training to end users, improving their ability to leverage technology for their job functions.