
Girish E
Data Engineer
Skills

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Work experience
Sr Data Analyst/Engineer
Ecolab • Full-time
Jun 2025 - Present • 1 yr 4 mos
Businesses run into data issues every day — broken pipelines, slow dashboards, failed jobs. I fix them fast. With experience in production support across Azure Data Factory, Data bricks, Snowflake, Power BI, and SSAS Tabular, I help teams: Resolve ADF pipeline failures & alerts Debug and optimize Data bricks notebooks Fix Snowflake performance issues Troubleshoot Power BI / SSAS model errors Manage incidents via ServiceNow & Azure DevOps Available for retainer support, one-time fixes, or audits. Fast turnaround. Production-tested solutions.
Technology Analyst
Infosys • Full-time
Jun 2022 - Jan 2025 • 2 yrs 7 mos
Led end-to-end Oracle to Oracle data migration for Finacle banking system, managing the successful transfer of core banking data without service disruption. Utilized Oracle Data Pump and custom SQL scripts to extract and load large volumes of structured financial data, preserving transaction histories and account data. Developed and executed custom PL/SQL scripts for data mapping and transformation, ensuring that all transactional and customer data was accurately migrated. Executed extract, transform and load(ETL) manually by exporting using data pumps and transformed by writing Plsql and then loaded to target db using import utilities. Conducted rigorous data validation and reconciliation processes post-migration to ensure data integrity and compliance with banking regulations. Collaborated with cross-functional teams, including business analysts and IT, to ensure that business requirements were met during the migration process. Reduced migration downtime by optimizing the data migration strategy, resulting in improved operational efficiency and minimal disruption to business operations.
Senior Associate
GROW • Full-time
Mar 2021 - Jun 2022 • 1 yr 3 mos
Developed SQL queries to extract the data and validate the data, ensuring that all transactional and customer data was accurate. Responsible for resolving the issues raised by users. Processed large batches of data on a daily and weekly basis for business reports. Track and improve operation metrics for MF business by working with tech & product team.