VINAYAK BIJJARAGI

Data Engineer with 8+ years in Azure Data Platform & PySpark

Cognizant Technology Solutions pvt ltd

NMAM Institute of Technology

Bengaluru, Karnataka, India

Since April 27, 2026

About

Dedicated to leveraging technical expertise and a passion for data to build and optimize scalable data systems that empower organizations to achieve their strategic goals. Seeking to contribute to a dynamic team where innovative data solutions drive impactful business decisions. Over 7.6 years of experience in IT industry, I am designing, building, and optimizing robust data infrastructure and pipelines. Proficient in transforming complex data from various sources into actionable insights and driving data-driven decision-making processes. Expertise in managing large-scale data environments, ensuring high data quality, and implementing effective data integration solutions.

Top Skills

MysqlUnixMongoDB

Skills

LinuxPythonSQLMysqlMicrosoft Sql ServerAzure Data LakeDatabricksGitGithubAzure DevopsPower BIUnixAnsibleMongoDBSnowflakeOracle

Education

NMAM Institute of Technology

Bachelor, Technology · Electronics and Communication

N/A – June 30, 2017

Experience

Cognizant Technology Solutions pvt ltd

Sr. Associate Projects

April 1, 2025 – Present

India

Cognizant Technology Solutions pvt ltd

Sr. Associate - Projects

January 1, 2025 – April 1, 2025

India

INFOSYS LTD

Technology Lead

June 1, 2021 – December 1, 2024

India

SYNIVERSE TECHNOLOGIES

Associate System Analyst

February 1, 2018 – June 1, 2021

India

Certifications

Databricks Certified Associate Data engineer

Databricks

April 1, 2026 – Present

Key Strengths

Extensive experience (8 years) in Data Engineering roles, with a strong focus on cloud platforms (Azure, Databricks).
Proven ability to migrate complex ETL pipelines (Talend to Databricks/PySpark), demonstrating strong transformation and optimization skills.
Proficiency in PySpark, Python, and SQL for data ingestion, transformation, and analysis across various data sources (Snowflake, Oracle, MongoDB, S3).
Strong background in designing and implementing scalable data pipelines using Azure Data Factory and Azure Databricks.
Familiarity with enterprise job orchestration (AutoSys) and monitoring tools (Azure Monitor, Log Analytics).
Experience with performance tuning, cost optimization, and ensuring data quality in ETL processes.
Demonstrated ability to integrate with external APIs (Salesforce Marketing Cloud) for data loading.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the resume, the candidate's experience in collaborative environments and stakeholder engagement suggests a team-oriented approach. However, the psychometric test score of 0 provides no data to validate this, making a definitive assessment of cultural fit impossible from the provided assessment results.

Soft Skills & Operational Fit

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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Extensive experience (8 years) in Data Engineering roles, with a strong focus on cloud platforms (Azure, Databricks).
Proven ability to migrate complex ETL pipelines (Talend to Databricks/PySpark), demonstrating strong transformation and optimization skills.
Proficiency in PySpark, Python, and SQL for data ingestion, transformation, and analysis across various data sources (Snowflake, Oracle, MongoDB, S3).
Strong background in designing and implementing scalable data pipelines using Azure Data Factory and Azure Databricks.
Familiarity with enterprise job orchestration (AutoSys) and monitoring tools (Azure Monitor, Log Analytics).
Experience with performance tuning, cost optimization, and ensuring data quality in ETL processes.
Demonstrated ability to integrate with external APIs (Salesforce Marketing Cloud) for data loading.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit