Praveen Chand Kakarla — Data Engineer

Highly motivated Senior Data Engineer with 4.5+ years of experience building and optimizing large-scale data pipelines. Demonstrated ability to reduce costs by 50% through process optimization and collaborated with cross-functional teams to deliver impactful data-driven solutions. Seeking a challenging role to leverage my expertise in data engineering and data warehousing to empower organizations with actionable insights and drive strategic success. Summary of Skills: -> Strong proficiency in programming languages such as Python, Java, Scala, and SQL. -> Expertise in designing and implementing ETL processes and data pipelines. -> Experience in working with Big Data technologies such as Apache Spark, Apache Flink, Apache Kafka, Kafka Connect & Apache Airflow -> Knowledge of Cloud platforms such as AWS & GCP -> Skilled in data modeling and database design including both SQL & NoSQL databases such as PostgreSQL, Elasticsearch, Druid & DynamoDB. -> Experience with Analytics Tools such as Looker, Superset, and Tableau for data visualization and exploration. -> Experience with CI/CD pipelines using Jenkins for automating software delivery processes. -> Experience working with containerization platforms such as Docker and EKS in AWS for efficient application deployment. -> Ability to work with cross-functional teams to understand business requirements and develop data- driven solutions. Senior Data Engineer at Paytm: -> Designed and implemented a real-time data pipeline for Paytm Ads. This pipeline processes advertising impressions and clicks from the Paytm app displayed at various slots. Utilized Kafka for real-time data ingestion, Flink for stream processing and data transformation, and Spark for batch processing and data warehousing tasks. -> Optimized Flink processing on AWS EMR to achieve a 50% reduction in costs. Leveraged Flink side output functionality to efficiently handle data streams, minimizing resource utilization and significantly lowering EMR cluster costs. -> Established a robust data storage and analytics infrastructure. Leveraged S3 for efficient data storage, BigQuery for data warehousing, and Looker for data visualization. This comprehensive approach ensured scalability, accessibility, and actionable insights for the business.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Big Data technologies.

Location: Bengaluru, Karnataka, India

Experience: 5 yrs 11 mos