Sravya kollimarla

SQL Developer

LiftLab•  September 2022 - Present•  Hyderabad, India

Developed complex SQL queries and scripts to extract, manipulate, and analyze data from relational databases. Spearheaded the development and maintenance of ETL pipelines, orchestrating the seamless processing and integration of data from diverse sources into a centralized data warehouse. Implemented cloud-native solutions by leveraging AWS services, S3 Bucket, Athena, and CloudWatch, to enhance data processing and storage capabilities. Took charge of managing and optimizing databases to ensure sustained high performance and availability. Collaborated closely with business analysts to conceptualize and implement automated reports and dashboards, fostering data-driven decision-making. Conducted comprehensive data quality checks and implemented robust data validation rules, ensuring the accuracy and reliability of data. Designed and implemented database structures, including tables, indexes, and views, to optimize data storage and retrieval. Achieved significant performance improvements in ETL jobs and database queries through meticulous performance tuning, contributing to reduced processing time and enhanced. Engaged collaboratively with DevOps teams to seamlessly integrate data engineering processes into CI/CD.

SQL Developer

TCS•  September 2020 - September 2022•  Hyderabad, India

Managed and optimized databases to ensure high performance and availability. Collaborated with data scientists and business analysts to automate the generation of reports and dashboards. Executed thorough data quality checks and implemented validation rules, guaranteeing the precision and reliability of the stored data. Implemented ETL Processes to transform raw data into actionable insights, contributing to improved decision-making. Monitored and maintained data pipeline performance, promptly addressing any issues to minimize downtime. Documented database processes, procedures, and best practices to facilitate knowledge sharing and ensure compliance with organizational standards. Implemented data validation checks and data cleansing processes to ensure data accuracy and integrity, reducing errors and improving overall data quality. Collaborated with business analysts and stakeholders to design and develop reports and dashboards using SQL queries and reporting tools, providing valuable insights for decision making and business intelligence purposes.