Ainala Vinodkumar

Data Engineer @ Genpact | Databricks Certified Professional | PySpark • SQL • ETL | Exploring AI & GenAI

Hyderabad

vinodkumarainala@gmail.com

About

Data Engineer passionate about building scalable data pipelines and turning data into meaningful insights. Experienced in Databricks, PySpark, SQL, and ETL workflows, with a growing interest in AI, GenAI, and intelligent automation. Attending DevFest to learn from the developer community, explore emerging technologies, exchange ideas, and connect with like-minded builders.

Skills

Databricks

Python

Pyspark

spark sql

PostgreSQL

sql

data modeling

Experience

Data Engineer

Genpact

Oct 2024 to Present

* Databricks Cost Optimization: Optimized Databricks jobs, reducing daily DBU consumption by 34% and job runtime by 20%, improving compute efficiency and reducing processing costs.
* ETL Pipeline Engineering: Engineered 20+ ETL pipelines across 180+ tables, ingesting and transforming multi-terabyte structured and semi-structured finance data from AWS S3 into a Databricks Lakehouse.
* Finance Data Modeling: Designed and developed finance-domain Source of Truth (SOT) datasets using Delta Lake, establishing reliable, centralized datasets for Tableau Desktop and Power BI financial dashboards across business units.
* PySpark & Spark SQL Development: Built data transformation logic and automated reporting workflows using PySpark and Spark SQL in Databricks notebooks, enabling timely and accurate financial insights for business users.
* Workflow Automation: Developed Python and SQL automation scripts for financial data transformations, incorporating data quality checks and governance standards to minimize manual intervention and improve pipeline reliability.
* Workflow Orchestration: Orchestrated scheduled financial data pipelines using Apache Airflow to ensure consistent and timely delivery of data to downstream reporting platforms.
* API Integration: Integrated Databricks pipelines with external systems through REST APIs to enable data exchange across business platforms.
* Version Control & CI/CD: Managed pipeline code using Git and followed CI/CD best practices to support reliable, maintainable deployments.

Data Engineer Intern

Genpact

Feb 2024 to Jul 2024

* Developed ETL workflows for store sales and inventory reporting using Google Cloud Platform (GCP).
* Extracted, transformed, and prepared data for analytical reporting and business insights.
* Used Google BigQuery to query and analyze datasets supporting business reporting requirements.
* Supported dashboard development and data visualization using Looker to present sales and inventory insights.
* Assisted with data validation and reporting to improve the accuracy and reliability of analytical outputs.

Projects

Finance Data Lakehouse & ETL Pipeline Engineering

Engineered 20+ ETL pipelines across 180+ tables to ingest and transform multi-terabyte structured and semi-structured financial data from AWS S3 into a Databricks Lakehouse. Developed scalable data transformation workflows using PySpark and Spark SQL, leveraging Delta Lake for reliable data storage and implementing data quality checks and workflow orchestration to support dependable downstream analytics.

Databricks

PySpark

Spark SQL

Python

SQL

AWS S3

Delta Lake

Apache Airflow

Git

Databricks Job Performance & Cost Optimization

Optimized Databricks job execution, reducing daily DBU consumption by 34% and runtime by 20%. Improved compute efficiency and reduced processing overhead through job optimization, enhancing the performance and cost efficiency of data engineering workflows.

Databricks

Apache Spark

PySpark

Spark SQL

Finance Source of Truth & Reporting Automation

Designed and developed finance-domain Source of Truth (SOT) datasets using Delta Lake and data modeling best practices. Automated financial reporting workflows using PySpark and Spark SQL in Databricks notebooks, providing reliable, centralized data for Tableau Desktop and Power BI dashboards across business units.

Databricks

Delta Lake

PySpark

Spark SQL

Python

SQL

Tableau

Power BI

Retail Sales & Inventory Analytics

Developed and supported ETL workflows for store sales and inventory reporting using Google Cloud Platform. Queried and prepared datasets in BigQuery and supported Looker dashboard development to deliver actionable business insights and improve reporting accessibility.

Google Cloud Platform (GCP)

BigQuery

SQL

Looker

ETL

Education

B.Tech

SRM University AP, Amaravathi

Sept 2020 to Jun 2024

Certifications

Databricks Certified Generative Al Engineer Associate

Databricks