Satish K — Data Engineer

Data Engineer As Data Engineer delivering solutions across on-premises and cloud platforms. At Standard Chartered Bank (Singapore GBS), I specialized in on-premises data engineering—building and optimizing ETL workflows using Hive SQL and Control-M, managing secure data transfers with PuTTY and WinSCP, and deploying workflows via Azure DevOps. I also have strong cloud experience with AWS, working on data pipelines using Spark, Glue, and S3 to design scalable ETL workflows. I ensured high-quality, timely reporting through data validation, troubleshooting, and change request handling, while collaborating with stakeholders in Agile ceremonies such as daily stand-ups, sprint planning, and retrospectives. Key Skills & Expertise: ✓ Data Pipeline Development & Maintenance: Expertise in designing, building, and maintaining data pipelines using AWS, Apache Spark, and other modern data technologies. ✓ ETL Optimization: Proficient in tuning and optimizing Spark jobs and ETL processes for better performance, scalability, and reliability. ✓ ETL Tools: Hands-on experience with tools like AWS Glue, PySpark, Airflow, Azure DevOps (VSTS), Jenkins, and Dataflow. ✓ SQL & Data Validation: Strong proficiency in writing complex SQL queries for data validation, ensuring data accuracy and completeness post-transformation. ✓ Testing & Quality Assurance: Skilled in designing and executing comprehensive test cases and plans to ensure the integrity of data throughout the ETL process. ✓ Problem Solving & Troubleshooting: Experienced in diagnosing and resolving issues, collaborating with development teams to ensure high-quality data integration and flow. ✓ Tools Knowledge: Familiar with Heartland, Postman, Rally, Qtest, WinSCP, Putty, and other software tools essential for data engineering and testing. I am passionate about driving data-driven decision-making through automation and the development of high-performing, scalable data systems. My goal is to continuously optimize processes, reduce bottlenecks, and ensure data integrity at every stage of the data pipeline.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and cloud data solutions.

Experience: 3 yrs 10 mos