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tejaspatil196

Tejas P

@tejaspatil196

AWS Data Engineer

India
Inglese, Hindi
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am an analytics professional with a strong background in data analysis, statistical modeling, and business intelligence. I have a proven ability to collaborate effectively within teams and adapt to changing project needs while maintaining a results-driven approach. I am skilled in SQL, Python, and data visualization tools. I am known for analytical thinking, problem-solving, and delivering actionable insights.... Continua a leggere

Competenze

t
tejaspatil196
Tejas P
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Sviluppo database
I will help with database design, etl, analytics, data engineering
A partire da15 USD / progettoMaggiori dettagli

Esperienza lavorativa

AWS Data Engineer

Exponentia.ai • Full time

Feb 2024 - May 2024 • 3 mos

For an Insurance Domain Client, implemented Python scripts on AWS SageMaker for creating unique insurance offers for client's customer base. Optimized existing python script for RDS CRUD operations, enhancing compute efficiency for generating customer offers resulting in a 50% reduction in processing time from 16 min to 8 min for every 10 lakh datapoints. Ensured code compatibility with both AWS cloud and local systems, preventing crashes and timeouts by 50% during large data volume processing, which improved system reliability, minimized downtime and increased customer engagement.

Capgemini

Sr. Analyst (Cloud Data Engineer)

Capgemini • Full time

Aug 2021 - Oct 2023 • 2 yrs 2 mos

Designed and deployed scalable data solutions using Snowflake, AWS services like Redshift, Glue, Step Functions, s3, Athena, CloudWatch, Lambda and Kinesis, improving data reliability by 30% • Engineered and optimized ETL workflows using SQL and Python handling over 10 billion datapoints, reducing time for data processing by 40%. Remediated data issues reducing errors by 25% improving data integrity and quality of business reports • Collaborated with parallel teams & led monthly production deployments and bi weekly history & future data loads minimizing downtime, ensuring smooth operations, improved overall project delivery and timely business insights. • For the valuable contribution, received Rising Star Award for best performing junior in the project amongst a team of 150 members