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sasi_kumar_tech

Sasi Kumar

@sasi_kumar_tech

Data Engineer : ETL, SQL, Python, BI

Inde
Anglais, Tamoul
Certaines informations sont présentées en anglais.
À propos de moi
I’m a Data Engineer and ETL Developer with 8+ years of professional experience in building reliable data solutions. I specialize in SQL Server, SSIS, ETL/ELT, Data Warehousing, Python, PySpark, Databricks, data migration and automation. I can develop and troubleshoot ETL pipelines, optimize SQL, automate data processing, and handle complex transformations. I also work with Power BI, Tableau and React for reporting and business applications. I focus on clean, scalable and production-ready solutions with clear communication and reliable delivery. ... Plus d’infos

Compétences

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sasi_kumar_tech
Sasi Kumar
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

ETL de données
I will develop fix and optimize ssis etl and sql server solutions
De25 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Payoda_Technology Inc

Senior ETL & Data Engineer

Payoda Technology Inc • Temps plein

Feb 2023 - Present • 3 yrs 6 mos

Working as a Senior ETL & Data Engineer, designing, developing, and supporting enterprise-grade data processing solutions for high-volume financial datasets. Key responsibilities and achievements: • Design and development of complex SSIS ETL packages and reusable data workflows • SQL Server development using complex queries, stored procedures, joins, CTEs, and data transformations • Processing and transformation of large-volume financial data from multiple file sources • Development of Python-based automation for file processing, consolidation, validation, and dynamic output generation • Integration of Python processing frameworks with SSIS for scheduling and orchestration • Implementation of data validation, error handling, logging, and automated workflow controls • Performance optimization and troubleshooting of production ETL processes • Production support, issue analysis, enhancements, and maintenance of business-critical data pipelines • Working with configurable and reusable solutions to support multiple business requirements Technologies: SQL Server, SSIS, T-SQL, Python, Pandas, ETL, Data Warehousing, Databricks, PY- Spark, Azure, Git, and Visual Studio.