Summary
Overview
Work History
Education
Skills
Projectsachievements
Timeline
Generic

Leelaprasad Nuvvula

Hyderabad

Summary

Results-driven Data Engineer with over 9.5 years of experience in developing cloud-native data solutions, specializing in Python, PySpark, Azure and AWS services. Proven success in designing scalable data pipelines and implementing robust ETL workflows that enhance data governance and compliance. Expertise in data modeling and warehouse design enables the delivery of actionable insights from large datasets to support advanced analytics initiatives. Committed to leveraging innovative technologies for optimizing data management processes.

Overview

8
8
years of professional experience

Work History

Lead Data Engineer / Data Wrangler

Coupa Software India Pvt. Ltd
Hyderabad
02.2021 - Current
  • Designed and enhanced data pipelines leveraging Databricks, ADF, AWS Glue, and Snowflake to streamline data workflows.
  • Designed scalable data lakes using Databricks and Delta Lake while implementing Unity Catalog for governance enforcement.
  • Developed modular, reusable DBT models to streamline data transformations and ensure consistency across Snowflake tables, resulting in improved data quality and reduced maintenance time.
  • Implemented data validation protocols enhancing data accuracy and dependability in reporting layers.
  • Strengthened data quality through creation of advanced validation protocols for critical reports.
  • Streamlined deployment processes to support advanced reporting and analytics.

Data Migration Engineer

Coupa Software India Pvt. Ltd
Hyderabad
02.2020 - 12.2021
  • Crafted and implemented ADF pipelines for ETL processes from on-premises SQL Server to Azure SQL Database using SHIR.
  • Streamlined data processing by integrating delta approaches and watermarking within ADF pipelines.
  • Designed medallion architecture-based ADF pipeline for data extraction, cleaning, and loading into S3 buckets.
  • Configured integration runtimes within Azure Data Factory to enable secure connections between on-premises SQL Server and Azure.
  • Leveraged Python and PySpark scripts in the ADF pipeline and Databricks to validate data before Amazon S3 upload.
  • Established alert systems to expedite identification and resolution of issues.

Data Engineer

Launchship Technologies Pvt. Ltd.
Hyderabad
06.2017 - 02.2019
  • Engineered complex transformations, including lookups, conditional splits, and aggregations within SSIS workflows.
  • Designed error handling workflows in SSIS to capture data inconsistencies during ETL processes.
  • Designed custom scripts in SSIS to dynamically configure package parameters, enabling reusability across multiple projects.
  • Implemented tracking of error occurrences within SSIS packages, reducing debugging time by 30%.
  • Optimized SSIS package performance to enhance data transfer rates and decrease execution times by 25%.

Education

Bachelor of Technology - Electronics and Communication Engineering

JNTU Hyderabad
Shadnagar
01.2012

Skills

Databricks Analytics Expertise

Snowflake Data Warehousing

DBT (Data Build Tool)

Microsoft SQL Server Integration Services (SSIS)

Azure Data Factory (ADF)

Azure Synapse Analytics

Delta Tables

PySpark Data Analysis

Python ETL Programming

T-SQL Proficiency

T-SQL Query Optimization

Data Quality Management

Data Governance

Data Modeling

Data Warehouse Design

Medallion Architecture Implementation Skills

Unity Catalog

AWS S3

AWS Glue

AWS Lambda

AWS ECS

Looker

Power BI

Projectsachievements

  • Scalable ETL with Azure Data Factory, Built an ADF pipeline to integrate multiple data sources into a centralized Snowflake data warehouse.
  • Data Transformation Pipeline with DBT and Snowflake, Developed DBT models for efficient data transformations, reducing pipeline execution time by 35% and improving data quality checks.
  • Automated Data Quality Checks with DBT, Created a DBT-based automated data quality monitoring system that enabled consistent data validation, enhancing accuracy and dependability of data pipelines.
  • Data Governance Framework with Unity Catalog, Implemented data governance controls within Unity Catalog, aligning data policies with compliance standards.
  • Optimized Data Integration with Parquet, Designed ETL processes to manage Parquet files within Snowflake, reducing data storage costs and query time.
  • Advanced Data Management in Databricks, Established Delta Lake architecture and data governance structures to support scalable data science projects, enhancing collaboration and model deployment.
  • Data Pipeline with AWS Glue and S3, Designed an end-to-end data pipeline using AWS Glue for data transformation and AWS S3 for data storage. This improved scalability and reduced processing times for large datasets.
  • Visualization and Reporting with Power BI, Developed dynamic Power BI dashboards, enabling business teams to access key metrics and insights in real time. Integrated Power BI with Snowflake and AWS S3 for seamless data connectivity.
  • Containerized Data Workflows with AWS ECS, Deployed ETL workflows as containerized applications using AWS ECS, ensuring efficient resource utilization and easy scalability.

Timeline

Lead Data Engineer / Data Wrangler

Coupa Software India Pvt. Ltd
02.2021 - Current

Data Migration Engineer

Coupa Software India Pvt. Ltd
02.2020 - 12.2021

Data Engineer

Launchship Technologies Pvt. Ltd.
06.2017 - 02.2019

Bachelor of Technology - Electronics and Communication Engineering

JNTU Hyderabad

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Leelaprasad Nuvvula