Hi, I’m
VAMSI KRISHNA MAMILLAPALLI
Experienced Data Engineer
Austin,TX
Summary
Data Engineer/Analyst with 4 years of experience in building scalable data architectures and optimizing ETL processes to support data-driven decisions. Proficient in Big Data tools (Apache Spark, Hadoop) and cloud platforms (AWS, Azure), with strong skills in SQL and Python. Dedicated to transforming complex data into strategic insights that drive growth.
Overview
4
years of professional experience
4
Certification
Skills
- Python
- SQL
- PySpark
- Apache Spark
- Hadoop
- Hive
- HDFS
- Kafka
- Microsoft Azure
- Amazon Web Services
- Power BI
- Tableau
- Databricks
- SQL Server
- PostgreSQL
- MongoDB
- ETL development
- Leadership
Work History
Sailesh & Co. TechnologiesHyderabad, India
Data Engineer/Analyst
07.2019 - 10.2022
Job overview
- Developed Azure data lake and semantic layer for the insurance business using Azure Synapse Analytics for large scale data processing and Power BI for reporting on top of semantic layer
- Ingested various sources of data like OLTP, Excel, Access DB's from program partners policy and actuarial data into Azure data lake using Spark SQL and PySpark in Azure Synapse Analytics
- Developed and maintained ETL pipelines using Azure Data Factory to efficiently integrate complex data from diverse insurance-related sources for enhanced analytics
- Managed and optimized Azure SQL Databases to support high-volume data storage and enable rapid data retrieval for policy data analysis for Finance and programs teams
- Implemented data warehousing solutions with Azure Synapse, improving data storage capabilities and enhancing query performance for insurance data management
- Designed and executed data integration solutions using Azure Data Factory to process large datasets that used in reports for Billing, Finance and underwriting teams
- Involved in configuring Azure Active Directory for secure access management and identity verification, ensuring compliance with industry regulations specific to insurance
- Maintained comprehensive documentation of data architectures and processes to ensure compliance with insurance industry standards and best practices
- Employed Agile methodologies to manage data engineering projects, ensuring timely delivery and adaptability to changing insurance business requirements
- Conducted thorough data analysis using SQL and Python to derive actionable insights that support strategic business objectives and operational improvements
- Delivered accurate insights, visualizations and Adhoc requests that enables stakeholders to make informed, data-driven choices swiftly
Accomplishments
- Streamlined Data Processing: Built ETL pipelines in Azure Data Factory, improving data integration speed by 30% and reducing manual effort by 25% for billing, finance, and underwriting teams.
- Optimized Storage: Implemented Azure Synapse, enhancing query performance by 40% and cutting data retrieval times by 35% for large datasets.
- Enabled Insights: Delivered real-time insights via Power BI, increasing report accuracy by 25% and decision-making efficiency by 30%.
Education
University of ScrantonScranton, PA
Masters from Business Analytics
05.2024
Certification
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Fundamentals
- Data Camp Certified: SQL Associate
- Python Certification
Languages
English
Native language
Telugu
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
Availability
See my work availability
Not Available
Available
monday
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Work Preference
Work Type
Full TimeWork Location
On-SiteRemoteHybridImportant To Me
Career advancementWork-life balanceCompany CultureFlexible work hoursWebsites
Interests
Fitness
Technologies
Entertainment
Timeline
Data Engineer/Analyst
Sailesh & Co. Technologies
07.2019 - 10.2022
University of Scranton
Masters from Business Analytics
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