Abhipsa Chakraborty

CTO

Bengaluru, Karnataka, India8 yrs 2 mos experience

Highly Stable

Key Highlights

8 years of expertise in cloud and big data ecosystems.
Proficient in multiple data engineering tools and platforms.
Led significant projects at Walmart and IBM enhancing data solutions.

Stackforce AI infers this person is a Data Engineering expert with extensive experience in cloud solutions for retail and enterprise applications.

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Skills

Core Skills

Data EngineeringGoogle Cloud Platform (gcp)Cloud ComputingEtl Development

Other Skills

Scala in SparkLooker (Software)BigQueryAirFlowAutomicAzure Data FactoryPython (Programming Language)HdfsGoogle BigQueryHiveApache DruidContinuous Integration and Continuous Delivery (CI/CD)Automic (Software)Apache AirflowBig Data

About

Results-driven Data Engineer with 8 years of expertise in cloud and big data ecosystems, currently serving as a Principal AI/ Cloud Engineer at Oracle. Previously held the position of Data Engineer III at Walmart Global Tech India and Azure Data Engineer at IBM, bringing extensive experience in GCP, Azure, data pipelines, and data warehousing. Proficient in tools such as Airflow, Spark, Scala, PySpark, Databricks, BigQuery, Hive, HUDI, Automic, and various ETL processes. Self-motivated team player with exceptional communication skills, dedicated to exploring new opportunities and delivering innovative data-driven solutions.

Experience

8 yrs 2 mos

Total Experience

3 yrs 11 mos

Average Tenure

4 mos

Current Experience

Oracle

Principal AI/ Cloud Engineer

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India

Walmart global tech

Data Engineer III

Jan 2023 – Jan 2026 · 3 yrs · Bengaluru, Karnataka, India · On-site

~Worked as a key member in Walmart US Omnitech customer area to deliver high impact business problems.
~Worked in Google Cloud Platform and the respective services namely - BigQuery, DataProc, BigLake, Hive, Hudi, HDFS, AirFlow, Automic etc.
~Accelerated delivery of major project outputs, contributing to overall project efficiency.
~Successfully completed CI/CD setup with github, looper, sonar and concord.
~Executed end-to-end migration of legacy workflows from Automic to Apache AirFlow.
~Identified and executed cloud cost optimization initiatives across services and workloads.
~Integrated NLP backed algorithms to identify and scrub sensitive PII (Personally Identifiable Information) of Walmart customer base.
~Implemented Spring Boot API Endpoints to retrieve and present data from bigquery tables for reporting and analytics.
~Collaborated cross-functionally with engineering, product and data teams to drives project success.
~Worked closely with the stakeholders to align tech initiatives with business objectives.

Scala in SparkLooker (Software)Data EngineeringGoogle Cloud Platform (GCP)

Ibm

3 roles

Senior System Engineer

Promoted

Aug 2021 – Jan 2023 · 1 yr 5 mos

One of the primary development team members working on the enhancement of data and ADF Pipelines.
Working on several Azure services like Azure Data Factory, Azure Data
Lake, Azure DataBricks, PySpark, Azure LogicApps , Azure SQL Server , Streamsets, Jira etc.
Successfully worked on several implementation and automation using several azure services.
Using Azure DevOps for version control and keeping tracks of various work items.
Handling ADF Pipeline failures and troubleshooting issues on regular basis.
Direct client handling and communication.
Engaged in active knowledge sharing and peer support within a high- performing team.

Looker (Software)Azure Data FactoryCloud ComputingData Engineering

System Engineer

Promoted

Feb 2019 – Jul 2021 · 2 yrs 5 mos

Worked as the primary resource in the team with direct client handling and communication.
Worked proficiently on ETL tool IBM Infosphere DataStage development and administration.
Robust experience in designing ETL jobs and analysis related to performance improvement and providing efficient solutions to achieve optimum business-result.
Experience in analytical problem-solving skill by working in collaboration with Product Support and various other teams.
Simple hands-on experience on Qlikview and DevOPS and its related
tools. (Jenkins, Docker etc).

Azure Data FactoryCloud ComputingData EngineeringETL Development