Vineet Kumar

Data Engineer

Hyderabad, Telangana, India3 yrs 2 mos experience

Highly Stable

Key Highlights

3+ years of experience in data engineering.
Achieved ~20% performance gains in data pipelines.
Recognized with Deloitte Applause Awards for impactful solutions.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and performance optimization.

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Skills

Core Skills

Data EngineeringCloud ComputingSecurityData Analytics

Other Skills

Azure Data FactoryPySparkDatabricksAzure Key VaultSQLData IntegrationSecurity ManagementPerformance TuningRisk AssessmentData PreparationData QualityGitAmazon S3AWS LambdaAmazon Elastic MapReduce (EMR)

About

Data Engineer with 3+ years of experience designing and optimizing scalable data pipelines across Azure, AWS, and Snowflake. Skilled in PySpark, SQL, and Databricks, with proven success in improving pipeline performance (~20% gains), strengthening governance with Unity Catalog, and remediating 25+ high-severity security issues. Recognized with Deloitte Applause Awards and Industry Proficiency certifications for delivering secure, high-impact solutions in enterprise environments.

Experience

3 yrs 2 mos

Total Experience

3 yrs 2 mos

Average Tenure

3 yrs 2 mos

Current Experience

Deloitte

2 roles

Data Engineer

Promoted

Jan 2025 – Present · 1 yr 4 mos · Hyderabad · Hybrid

Architected and scaled Azure Data Factory (ADF) pipelines for Intel CDM, enabling secure, efficient integration across multiple data sources.
Refactored PySpark jobs, reducing processing time and boosting end-to-end pipeline throughput.
Modernized legacy transformations by migrating to Databricks Unity Catalog, strengthening governance, access controls, and enterprise compliance.
Established robust security controls with Azure Key Vault, App Services, and Storage Accounts to protect sensitive data and meet compliance mandates.
Tuned Spark workloads (~20% performance gain) using Copilot-assisted improvements, eliminating OOM and driver failure patterns.
Streamlined and automated CDM execution to accelerate runtimes, improve reliability, and enhance downstream analytics consumption.
Built and operated independent pipelines for diverse datasets, improving data flow efficiency and supporting varied analytical needs.
Remediated 25+ high-severity security defects under tight deadlines, reducing risk exposure and earning performance recognition.

Azure Data FactoryPySparkDatabricksAzure Key VaultSQLData Engineering+1

Data Analyst

Feb 2023 – Dec 2024 · 1 yr 10 mos · Hyderabad · Hybrid

Developed and maintained Azure Data Factory (ADF) pipelines to collect, clean, and prepare data from multiple sources for analysis and reporting.
Performed data transformation and analysis using SQL and PySpark, improving data quality and reducing processing time.
Designed and delivered analytics-ready datasets to support dashboards, ad-hoc analysis, and business reporting needs.
Improved data accessibility and governance using Databricks Unity Catalog, enabling secure and efficient data usage across teams.
Enhanced pipeline performance (~20%), resulting in faster availability of data for dashboards and decision-making.

Azure Data FactorySQLPySparkDatabricksData EngineeringData Analytics