SRAVANI MOTHUKURI
Cleveland
Summary
Experienced Azure Data Engineer with 5 years of expertise in designing, developing, and optimizing data pipelines and cloud-based data solutions using Microsoft Azure. Motivated professional with a proven track record of embracing new challenges. Demonstrates strong work ethic and adaptability in dynamic environments. Exceptional interpersonal skills enhance collaboration and team effectiveness. Quick learner with the ability to master new skills independently.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Azure Data Engineer
Cyber Info Tech
Hagerstown
05.2024 - Current
- Managed version control and deployment of data applications using Git, Docker, and Jenkins.
- Implemented and optimized big data storage solutions, including Hadoop and NoSQL databases, to improve data accessibility and efficiency.
- Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse.
- Identified, protected and leveraged existing data.
- Created data pipelines using Azure Data Factory to automate ETL workflows and improve data flow automation by 20%.
- Optimized SQL queries and database schemas for performance improvements in data retrieval operations.
- Participated in agile development processes, contributing to sprint planning, stand-ups, and reviews to ensure timely delivery of data projects.
- Developed and implemented data models, database designs, data access and table maintenance codes.
- Automated data quality checks and error handling processes to ensure the integrity and reliability of datasets.
- Optimized existing queries to improve query performance by creating indexes on tables.
- Conducted data analysis using SQL and Python to derive insights and support decision-making processes.
- Designed, constructed, and maintained scalable data pipelines for data ingestion, cleaning, and processing using Python and SQL.
Data Engineer
Capgemini
Mumbai
07.2018 - 05.2022
- Built and deployed batch and real-time data pipelines using Azure Data Factory and Azure Databricks to streamline data integration from various sources.
- Utilized Azure SQL Database and Cosmos DB to store and manage structured and unstructured data, ensuring high availability and performance.
- Optimized data transformation and integration processes, reducing data latency by 30% through the efficient use of Spark and Databricks notebooks.
- Worked with stakeholders to understand business needs, and provided data solutions that facilitated reporting, forecasting, and analytics.
- Developed data models for reporting and analytics using Azure Synapse Analytics, improving data querying and reporting performance.
- Wrote SQL queries to integrate data from different data sources, ensuring data consistency and accuracy.
- Documented data architecture designs and changes, ensuring knowledge transfer and system maintainability.
- Monitored data systems performance, identifying bottlenecks and implementing solutions to maintain system efficiency.
Education
Master of Science - Computer Science
Cleveland State University
Cleveland, OH12-2024
Skills
Skills and Techniques:
Data Visualisation
Data Migration
Analytical Problem-Solving
Domain Knowledge
Project Management
Software Development
Lifecycle (SDLC)
Confidential Power BI
Azure Data Lake
Azure Databricks
Azure SQL Data Warehouse
Python
MS Business Intelligence
Programming Scala
Certification
- Microsoft Certified: Azure Data Engineer Associate
Timeline
Azure Data Engineer
Cyber Info Tech
05.2024 - Current
Data Engineer
Capgemini
07.2018 - 05.2022
Master of Science - Computer Science
Cleveland State University
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