Laxmi Sai Meghana Vemisetty

• Experienced professional with a strong emphasis on design, development, and implementation of datacentric applications with a combination of technical, process, and business-oriented skills
• Extensive Data Engineering experience in implementing complex data pipelines to ingest, process, load, and transform largely structured, unstructured, and semi-structured data sets at scale
• Skilled in processing, and analyzing data using Apache Spark components spark-core, spark-SQL in Python using Databricks
• Background includes data mining, warehousing, and analytics. Proficient in machine and deep learning. Quality-driven and hardworking with excellent communication and project management skills.
• Certified AWS Developer – Associate, AWS Certified Data Analytics - Specialty, SnowPro Core Certified

• Orchestrated CI\CD pipelines to provision Azure resources and deploy code using Azure CI/CD and Gitlab
• Ingested, parsed, and processed data in various formats including JSON, CSV, and parquet received through various modes including REST API through Python, Data Analysis | Ventura County Fire Department (, ):
• Description: The goal of the project is to analyze the number of accidents using Tableau over a period and the type of accidents occurring in Ventura County, depending on the type of emergency request
• Involved in analyzing the data produced by Ventura County Fire Department
• Responsible for finding the performance KPIs of fire captains and using geo-analytics to find insights about stations and accident locations.

AWS Certified Developer – Associate