WORK EXPERIENCE
Cognizant Technology Solutions India
AssociateJan 2026 - Present
- Lead the optimization of large-scale data workflows, leveraging Python and SQL to improve data processing efficiency for enterprise clients.
- Spearheaded Apache Airflow DAG optimization initiatives that automated complex database maintenance tasks, eliminating the need for manual intervention and improving overall team operational efficiency.
- Collaborate with cross-functional teams to integrate Data Science methodologies into existing ETL processes, enhancing data-driven decision-making capabilities.
- Established standard coding guidelines for Python-based data processing, conducting code reviews that improved repository maintainability and reduced technical debt.
Programmer AnalystSep 2022 – Dec 2025
- Executed a high-priority data migration from Informatica to Google Dataflow, utilizing Python and Oracle DB to ensure 100% data integrity during the transition.
- Architected and deployed automated pipelines using Apache Beam and Airflow, streamlining deployment via Docker and Jenkins to reduce manual overhead.
Programmer Analyst TraineeJan 2022 – Aug 2022
- Completed intensive technical residency in Google Cloud Ecosystem (Big Query, Dataflow), subsequently applying these skills to architect production-level ETL pipelines.
- Learned about Database Management using SQL and Python for Data Analysis.
- Collaborated with senior engineers to refactor legacy SQL procedures, optimizing execution plans and reducing database CPU utilization during peak processing hours.
TECHNICAL SKILLS
- Languages: Python, SQL (Oracle DB, MySQL, SQLite), TypeScript, C++
- Data Engineering: Apache Airflow, Apache Beam, ETL Workflows, Informatica, DAG Automation
- Cloud: Big Query, Dataflow, Cloud Storage, Google Cloud Platform
- Tools & DevOps: Docker, Jenkins, Git, Data Pipeline Architecture, CI/CD, Excel (Advanced)
- Data Science: Machine Learning, Data Analysis & Visualisation (Pandas, NumPy, Matplotlib, Altair)
PROFESSIONAL DEVELOPMENT
Precision Oncology through Interpretable Machine Learning2025
- [Capstone Project – University of Michigan] - Focused on using interpretable ML models to analyse oncological data for precision medicine.
Malicious Website Navigation Prevention using CNNs and URL Vectors: A Study2022
- Published Study [ICCCI] - Developed a deep learning approach using Convolutional Neural Networks to identify malicious URLs.
EDUCATION AND CERTIFICATION
Master of Applied Data Science | University of Michigan, Ann-Arbor, USA2025
Bachelor of Technology – Computer Science Engineering | SRM IST, Chennai, India2022
Certification – Data Science for Engineers | IIT Madras2020