Divyanshu Kumar

Data Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Key Highlights

Expert in designing scalable data pipelines for analytics.
Proven track record of optimizing data processing efficiency.
Strong collaboration with cross-functional teams for data solutions.

Stackforce AI infers this person is a Data Engineering expert in Fintech and SaaS industries.

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Skills

Core Skills

Data EngineeringData Pipelines

Other Skills

Agile MethodologiesApache AirflowApache KafkaApache SparkAutosysAzure Data FactoryAzure Data LakeAzure DatabricksBashBig DataContinuous Integration and Continuous Delivery (CI/CD)Data AnalysisData Structures & AlgorithmsDatabricksDocker

About

Senior Data Engineer with 5 years of experience in designing, building, and optimizing large-scale data pipelines that power analytics, operations, and strategic decision-making. I specialize in creating scalable, reliable systems with a proven track record of enhancing performance, reducing costs, and increasing data availability. I thrive in collaborative, cross-functional teams and consistently align engineering efforts with business objectives. Known for taking end-to-end ownership and delivering production-grade data infrastructure that evolves with organizational needs. Experienced in a modern data stack including Apache Spark, Google Cloud Platform (GCP), Airflow, Kafka, Python, and SQL.

Experience

4 yrs 9 mos

Total Experience

1 yr 6 mos

Average Tenure

Current Experience

Walmart

Data Engineer III

Jan 2024 – Aug 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India

Citi

Data Engineer

Jul 2022 – Jan 2024 · 1 yr 6 mos · Pune, Maharashtra, India

Led the design and development of scalable data pipelines that powered analytics use cases, translating complex business needs into robust data solutions. Optimized workloads processing 600GB+ datasets (~1B records), reducing execution time by 30%. Partnered with Data Science teams to automate multi-source ingestion from Hive, S3, Oracle, and APIs—enhancing data reliability and accelerating delivery across functions.

Apache SparkApache AirflowApache KafkaPythonSQLData Engineering+2

Infosys

Data Engineer

Oct 2020 – Jun 2022 · 1 yr 8 mos · Hyderabad, Telangana, India

Designed and maintained scalable data pipelines using Azure Data Factory and Databricks for ingestion into ADLS. Implemented GPG/PGP encryption for sensitive data handling in specific use cases, and built KQL dashboards to monitor pipeline health and performance. Proactively supported production systems by resolving failures and driving reliability across mission-critical workflows.

Azure Data FactoryDatabricksKQLGPG/PGP encryptionData EngineeringData Pipelines