Abhishek JhaAJ
Open to opportunities

Abhishek Jha

@abhishekjha2

Skilled Data Engineer with 3+ years of experience in data architecture.

India
Message

What I'm looking for

I am looking for opportunities that allow me to leverage my data engineering skills in a collaborative environment, focusing on innovative projects that drive business success and enhance my professional growth.

I am a Data Engineer with over three years of experience specializing in building scalable ETL/ELT pipelines and efficient data architectures. My expertise lies in transforming complex data into actionable insights that drive strategic business goals. I have a strong foundation in cloud technologies, particularly GCP and Azure, and I am proficient in data processing tools such as PySpark and SQL.

Currently, I work at Rakuten India, where I have successfully built a real-time data pipeline to process user clickstream data, significantly enhancing user engagement through actionable insights. My previous role at Celebal Technology involved optimizing ETL processes, which resulted in substantial improvements in job execution speed and cost efficiency. I am passionate about leveraging data to solve complex problems and improve business outcomes.

Experience

Work history, roles, and key accomplishments

RI
Current

Data Engineer I

Rakuten India

Jul 2023 - Present (2 years)

Built a real-time data pipeline using BQ Link to ingest and process user clickstream data from Google Analytics into BigQuery, handling millions of events daily. Implemented monitoring, logging, and alerting with Google Cloud Monitoring, ensuring high system uptime and rapid incident response. Developed a scalable data cleaning and labelling pipeline processing over 10 million Japanese usage descr

CT

Associate Data Engineer

Celebal Technology

Jan 2022 - Jul 2023 (1 year 6 months)

Migrated SAS EG jobs from on-premises SAS servers to Azure Databricks Spark, optimizing ETL pipelines with data skew handling, efficient joins, partitioning, and AQE, resulting in 40% faster job execution and 30% reduced compute costs. Automated and scheduled daily, weekly, and monthly ETL workflows with robust monitoring and alerting. This improved reporting turnaround time by 35% and enabled mor

Education

Degrees, certifications, and relevant coursework

GT

Galgotias College of Engineering and Technology

Bachelor of Technology, Computer Science and Engineering

2018 - 2022

Grade: 7.64 CGPA

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