Mridul Pant — Data Engineer
Mridul is an accomplished Data Engineer with over 6 years of experience designing, developing, and optimizing ETL pipelines, data platforms, and real-time data workflows. He possesses a strong command of data engineering tools and frameworks, including Pyspark, Airflow, Kafka, Hive, Hadoop, and AWS cloud services (S3, Glue, EMR, ECS, MSK). His expertise spans multiple aspects of the data engineering lifecycle — from data ingestion and transformation to data warehousing and analytics. He has demonstrated his ability to build scalable data pipelines that process data from diverse sources (APIs, databases, SFTP, and streaming platforms) into modern data warehouses like Redshift, BigQuery, and Snowflake. He has a proven track record of automating workflows and enhancing system performance. He notably optimized BigQuery costs by 40%, reduced SLA times from 24 hours to real-time, and built event-driven microservices to enable seamless data flow. His work has improved system reliability, security, and operational efficiency. Mridul is also skilled in real-time data streaming using Kafka and Debezium to enable CDC (Change Data Capture) pipelines, ensuring low-latency data availability. He has experience in event-driven microservices development using Spring Boot, Docker, and AWS ECS, enabling seamless service integration. With hands-on experience in data security, incident management, and system monitoring (using Loki, Grafana, and Tableau dashboards), he ensures continuous system availability and data integrity. His experience with reverse ETL, CDC, and self-serve ETL frameworks makes him a well-rounded engineer capable of simplifying complex data workflows for analytics and reporting. His technical toolkit includes Python, SQL, Java, Shell scripting, and DevOps tools like Git, Jenkins, and Docker. He has contributed to high-impact projects at companies like British Petroleum, Bukuwarung, Rupeek, and Enquero Global, earning recognition like the Spot Award for extraordinary service.
Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and real-time data processing.
Location: Bengaluru, Karnataka, India
Experience: 8 yrs 1 mo
Skills
- Data Engineering
- Aws
- Microservices
- Cost Optimization
- Real-time Data Processing
Career Highlights
- Reduced BigQuery costs by 40%.
- Built scalable data pipelines for real-time analytics.
- Optimized data workflows for improved system performance.
Work Experience
bp
Data Engineer (9 mos)
BukuWarung
SDE-2(Data Platform) (1 yr 4 mos)
Rupeek
Data Platform Engineer (1 yr 2 mos)
Enquero
Senior Data Engineer (6 mos)
Big Data Engineer (2 yrs 4 mos)
Intern (2 mos)
Bharat Electronics
Intern (1 mo)
Birla Institute of Applied Sciences
Executive (1 yr 1 mo)
Placement Coordinator (2 yrs 9 mos)
Education
Master of Technology - MTech at Indian Institute of Technology Hyderabad
Bachelor of Technology (B.Tech.) at Birla Institute of Applied Sciences
Class 12 at Central Board of Secondary Education
Class 10 at Central Board of Secondary Education