Eesha Srivastava

Data Engineer

Bengaluru, Karnataka, India2 yrs 7 mos experience

Key Highlights

3+ years of experience in Data Engineering.
Expert in building scalable data pipelines.
Proficient in AWS and Big Data technologies.

Stackforce AI infers this person is a Data Engineering professional with expertise in Big Data and cloud technologies.

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Skills

Core Skills

Data EngineeringEtl

Other Skills

Azure DatabricksPySparkETL ToolsSQLHivePython (Programming Language)Amazon Relational Database Service (RDS)PythonAWS RDSAWS S3Apache KafkaApache SparkSnowflakeTableauAirflow

About

Data Engineer with 3+ years in Data Warehousing, Modeling, ETL, Big Data. Skilled in Hive, Kafka, AWS Glue, Redshift, S3, Apache Spark (PySpark), Databricks, SQL, Python, Power BI & CI/CD with AWS CodePipeline. Proficient in building scalable data pipelines.

Experience

2 yrs 7 mos

Total Experience

1 yr

Average Tenure

7 mos

Current Experience

Docusign

Data Engineer (P2)

Oct 2025 – Present · 7 mos · Hybrid

Games24x7

SDE-1 (Data Engineering)

Apr 2025 – Sep 2025 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Azure DatabricksPySparkData Engineering

Encora inc.

Data Engineer

Jan 2025 – Apr 2025 · 3 mos · Remote

Infineon technologies

2 roles

Software Engineer (Data)

Jun 2023 – Jan 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India

Designed, developed and optimized ETL pipelines using SQL and Hive for master data integration, data warehousing, and data transformation.
Utilized HiveQL for querying and transforming large datasets, ensuring efficient data processing and integration across various source systems like CRM and ERP.
Automated SQL-based validation checks to improve data quality, increasing accuracy by 25%.
Collaborated with cross-functional teams to design and implement data models, streamlining reporting and improving decision-making.

ETL ToolsData EngineeringETL