Data Engineer | AWS & GCP Certified | AdTech & Big Data Specialist
Hyderabad, Telangana, India
LinkedIn: linkedin.com/in/tejavoosa
Email: tejavoosa427@gmail.com / tvoosa@gmail.com
I'm a passionate Data Engineer with hands-on experience designing and building scalable, cost-efficient data pipelines for large-scale AdTech and media applications. At LTIMindtree, I build robust solutions using AWS, GCP, Python, PySpark, Sql and Airflow, driving efficiency and innovation in cloud data workflows. I love tackling big data challenges, modernizing legacy systems, and optimizing cloud costs.
- Cloud: AWS (Redshift, MWAA, Lambda, EMR, S3), GCP (BigQuery, Composer, Cloud Functions, Dataproc)
- Data Engineering: Airflow, ETL/ELT, Data Migration, Pipeline Optimization
- Programming: Python, PySpark, SQL
- Other: Hadoop, Data Quality, Performance Tuning, Cross-functional Collaboration
- Google Cloud Certified Professional Data Engineer (Jun 2024 – Jul 2026)
- Google Certified Associate Cloud Engineer (Nov 2023 – Nov 2026)
- AWS Certified Developer Associate (Apr 2023 – Apr 2026)
- AWS Certified Cloud Practitioner (Jan 2023 – Jan 2026)
Data Engineer, LTIMindtree
Jan 2022 – Present | Hyderabad, India
- Developed scalable data pipelines using Airflow, AWS, and GCP for a leading AdTech client, boosting efficiency by 30%.
- Built robust ETL workflows for large, diverse datasets across BigQuery, AWS EMR, S3, and Hadoop.
- Led performance tuning and optimization, reducing processing time and cloud costs.
- Automated data quality, archiving, and deletion processes for improved accuracy and storage efficiency.
- Collaborated with data science and engineering teams to deploy solutions at scale.
Tech: Python, PySpark, SQL, Airflow, AWS, GCP
- Developed and optimized pipelines for CTV/OTT advertising, leveraging identity-matching tech for audience unification.
- Designed, monitored & optimized Airflow DAGs for high availability and cost efficiency across AWS and GCP.
- Built custom Airflow operators (e.g., automated table removal) saving ~$10K/day in cloud costs.
- Led cloud storage migration, unifying regions and slashing expenses.
- Contributed to next-gen Graph2 (IP & Device Graph) pipeline, replacing legacy systems.
- Automated dataset deletion across BQ, GCS, and S3 for major savings.
- Modernized workflows (Python 2→3, Linux to Airflow) for better scalability and cost.
- Partnered with Data Science on audience segmentation, targeting, and analytics enhancements.
MTECH in Software Engineering
Bits-Pilani Hyderabad
Mar 2022 - Mar 2026
B.Sc. in Computer Science
Dr. B.R. Ambedkar University, Srikakulam
Sep 2017 – May 2021