Raghava Krishna Karny
Sr Data Engineer @State of Delaware
Signup · Get unlimited contacts
WORK HISTORY
Sr Data Engineer @State of Delaware
DE, US
Designed and developed scalable ETL workflows using IBM InfoSphere DataStage to support enterprise-level data processing and reporting.Built and optimized high-performance data pipelines handling claims, eligibility, provider, and reference datasets.Extracted and integrated data from multiple heterogeneous sources including mainframe systems, SQL Server, Salesforce, Snowflake, DB2, Oracle, and flat files.Collaborated with data architects and business stakeholders to design reusable ETL frameworks and data integration solutions.Performed data cleansing, transformation, and validation to ensure high data quality and compliance with business rules.Tuned DataStage jobs for performance improvements by optimizing partitioning, indexing, and job design patterns, reducing processing time significantly.Troubleshot ETL failures, conducted root cause analysis, and implemented fixes to ensure data reliability and pipeline stability.Developed complex SQL queries for data validation, reconciliation, and reporting support across relational databases.Worked extensively in Unix/Linux environments, creating shell scripts for job automation, monitoring, and file handling.Integrated data between legacy systems, enterprise data warehouses, and cloud platforms (Snowflake, IBM-CPD, AWS S3/Redshift or Azure).Designed and maintained ETL documentation, including source-to-target mappings, job design specifications, and runbooks.Scheduled and orchestrated workflows using Control-M, ensuring timely execution and dependency management.Supported testing, deployment, and production support, including defect resolution and release management.Ensured compliance with data standards and regulations while handling sensitive data.
EDUCATION
Jawaharlal Nehru Technological University
Bachelor's degree, Computer Science
SKILLS
ABOUT RAGHAVA KRISHNA KARNY
Data Engineer with a strong foundation in Data Engineering, experienced in building and maintaining scalable pipelines across diverse platforms and technologies. I specialize in tools like IBM Cloud Pack, DBT, Snowflake, Snap Logic, Talend, and Hadoop, with hands-on expertise in Big Data environments. Proficient in SQL and experienced with enterprise databases such as Oracle Database and IBM DB2, ensuring reliable data integration, transformation, and performance optimization across large data ecosystems. Highly motivated by automation and optimization—I enjoy writing robust Unix and Python scripts to streamline data workflows, enhance system reliability, and reduce manual intervention.Always looking to solve complex data problems, improve architecture, and contribute to data-driven strategies in dynamic, fast-paced environments.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.