Rajesh K

@rajesh_kannan_s

Senior AI Data Engineer and Data analyst

Indien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I am a highly skilled Senior Data Engineer with 4.8 years of experience specializing in Snowflake, AI-powered ETL development, and modern data architecture. I have extensive expertise in building scalable PySpark ingestion frameworks and AI-driven solutions using Snowflake Cortex AI and LLMs. I am proficient in SQL, Python, and cloud technologies, with a proven track record of optimizing data pipelines and implementing complex CDC frameworks for enterprise analytics.... Mehr lesen

Kompetenzen

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rajesh_kannan_s
Rajesh K
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Beratung im Bereich Datentechnik
I will build scalable snowflake etl pipelines, data engineering and data analytics
Ab75 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Rentler

Senior Data engineer

Rentler • Vollzeit

May 2023 - Present • 3 yrs 1 mo

Advanced Data Engineering & AI Optimization Built a scalable API-driven data platform integrating Aircall with Snowflake using secure backend frameworks and a two-level LLM-based analytics system for automated QA of customer support calls, improving reliability and insight accuracy. Designed cost-optimized Snowflake architectures by analyzing warehouse usage, credit consumption, clustering, and pipeline performance to reduce operational costs and enhance scalability. Initiated and supported Power BI to Tableau migration, improving dashboard usability, reporting performance, and user experience. Developed high-performance PySpark ingestion frameworks to efficiently process large-scale API and transactional data with optimized loading and transformation strategies.

NTT_DATA

Digital analyst Engineer

NTT DATA • Vollzeit

Jun 2021 - Sep 2023 • 2 yrs 3 mos

Transformed SSIS package scripts into SnowSQL for Snowflake migration and implemented CDC frameworks for over 60 data integration packages in Matillion. Conducted thorough data validation between SQL Server and Snowflake. Leveraged Python for data extraction and utilized Snowflake features like time travel and cloning for data recovery and testing purposes.