Mohit Agrawal

Data Engineer

Bengaluru, Karnataka, India4 yrs 4 mos experience

Highly Stable

Key Highlights

Architected high-performance data pipelines for media analytics.
Streamlined CI/CD processes, achieving 99.9% success rate.
Designed scalable solutions processing over 20 TB of data daily.

Stackforce AI infers this person is a Data Engineer specializing in scalable data solutions and CI/CD processes for media analytics.

Contact

nicemohit260@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringAwsCi/cd

Other Skills

Scala in SparkApache SparkScalaPythonAirflowPostgreSQLTerraformDockerKubernetesAmazon SQSTrinoEMRSparkSQLApache Airflow

About

👋 Hi, I’m Mohit — a Data Engineer with 4 years of experience turning complex data challenges into reliable, scalable solutions. I work primarily with AWS, Spark, Scala, Python and Airflow, and I’ve had the opportunity to build systems that handle 20+ TB of data daily, automate workflows, and improve performance across the board. At Tata Consultancy Services, I’ve led the development of multiple data and CI/CD pipelines for a leading media measurement company helped reduce processing times, and consistently focused on making things faster, smarter, and more efficient. What sets me apart? I genuinely enjoy taking ownership of my work. Whether I’m refactoring legacy systems, mentoring teammates, or building something from the ground up, I’m always looking for ways to innovate and learn something new. I believe in continuously improving—not just the tech, but myself and the people I work with. If you’re into solving meaningful problems with tech, learning as you go, and building systems that actually make a difference—I’d love to connect.

Experience

4 yrs 4 mos

Total Experience

3 yrs 6 mos

Average Tenure

10 mos

Current Experience

Ust

Senior Data Engineer

Jul 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

Scala in SparkData EngineeringAWS

Tata consultancy services

Data Engineer

Jan 2022 – Jul 2025 · 3 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

Architected and deployed 6+ high-performance big data pipelines using Spark, Scala, Airflow, Python, and PostgreSQL, ensuring seamless data flow and high integrity across Nielsen’s media analytics platform.
Engineered and streamlined 10+ CI/CD pipelines leveraging Terraform, Docker, and Kubernetes, accelerating deployment cycles by 8x and achieving a 99.9% success rate—enhancing release velocity and system reliability.
Designed and implemented a scalable EMR Serverless pipeline to process 20+ TB of daily data with 99.99% uptime, resulting in a 30% reduction in operational costs.
Revamped legacy ETL workflows using Spark and Airflow, reducing processing time by 30% and enhancing data accuracy by 15% for critical business reporting.
Automated data validation processes with Airflow and Spark, eliminating 15+ hours/week of manual checks and boosting team efficiency.
Piloted 3+ cross-functional POCs that improved deployment success rates and cut processing time by 30%.
Awarded “On-the-Spot” recognition for successfully architecting and delivering two high-impact ETL pipelines.
Optimized complex SQL procedures, enhancing pipeline performance by 30% and strengthening BI insights.
Established a fully automated CI/CD ecosystem, enabling rapid, reliable deployments with 99.9% success.