Pooja Tambare

Software Engineer

Pune, Maharashtra, India6 yrs 10 mos experience
Highly Stable

Key Highlights

  • 5+ years of experience in Big Data engineering.
  • Expert in building scalable ETL pipelines and cloud data platforms.
  • Proven success in banking and finance data solutions.
Stackforce AI infers this person is a Big Data Engineer with expertise in Fintech and cloud data solutions.

Contact

LinkedIn

Skills

Core Skills

DbtSnowflakeData VaultSpark-scalaHadoop

Other Skills

AWS S3Apache SparkBashBig DataCCI/CDCore JavaData MaskingData StructuresDatabase Management System (DBMS)ElasticsearchExtractGitGit BASHHBase

About

Big Data Engineer with 5+ years of experience in building scalable ETL pipelines, cloud data platforms, and data migration projects. Skilled in Spark, Hadoop, Hive, Sqoop, Bash Scripting, Snowflake and DBT. Hands-on expertise in designing Data Vault models (Hubs, Links, Satellites), implementing incremental loading strategies, automation using CI/CD pipelines, and integrating secure data layers for business analytics. Proven ability to deliver optimized, high-quality data solutions across banking, insurance, and finance sectors.

Experience

6 yrs 10 mos
Total Experience
3 yrs 1 mo
Average Tenure
7 mos
Current Experience

Virtusa

Lead Software Engineer

Oct 2025 – Present · 7 mos · Pune, Maharashtra, India

Tata consultancy services

ETL Developer

Nov 2021 – Oct 2025 · 3 yrs 11 mos · Pune, Maharashtra, India

  • Implemented end-to-end data pipeline from DBT Cloud ingestion using Snowpark procedures to transformation and schema design via Data Vault 2.0 models.
  • Developed Python-based ingestion framework to load Parquet files from AWS S3 to Snowflake with 99.9% success rate.
  • Designed and orchestrated DBT transformation pipelines to build staging and persistent tables with deduplication and replace strategies.
  • Performed historical data loads using Data Vault satellites to ensure complete and accurate data lineage.
  • Created secure, role-based access views with data masking for governed business consumption.
  • Automated Snowflake object deployment using Azure DevOps CI/CD pipelines.
  • Enhanced and optimized Spark-Scala and wrapper scripts for improved automation and reduced manual effort.
  • Built Spark-Scala utilities for exporting Hive data to RDS and managing partitioned data exports in CSV format.
DBTSnowflakePythonData VaultCI/CDSpark-Scala+2

Datametica solutions private limited

Big Data Developer

Jul 2019 – Nov 2021 · 2 yrs 4 mos · Pune, Maharashtra, India

  • Developed and optimized Spark-Scala ETL pipelines on Hadoop.
  • Ingested and processed RDBMS data into HDFS using Sqoop.
  • Executed and partitioned large-scale data loads from Oracle to Hive.
  • Tuned SQL/Hive queries for high performance.
  • Automated deployments via CI/CD using Git and Jenkins.
Spark-ScalaHadoopSqoopSQLGitJenkins

Education

Government College of Engineering Aurangabad

Bachelor of Engineering - BE — Information Technology

Jan 2015 – Jan 2019

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