Summary
Overview
Work History
Education
Skills
Websites
Languages
Timeline

BHASKAR MOGUTHALA

Letterkenny

Summary

Dynamic Data Engineer with over 3+ years of experience in creating robust data pipelines and big data processing for various use cases in projects using Python, Spark, SQL, and Azure Data Factory. Demonstrated expertise in optimizing data pipelines, achieving 99% uptime, and reducing data processing time by 30%. Additionally, I possess strong skills in developing and implementing machine learning models to analyze complex datasets and drive innovation. My background includes hands-on experience in using machine learning techniques for anomaly detection, predictive modeling, and data segmentation, making significant contributions to enhancing business outcomes through advanced data analytics.

Overview

3
3
years of professional experience

Work History

Data Engineer

Fronesis Solutions Pvt
Hyderabad
04.2021 - 04.2023
  • Led the migration from on-prem databases to Azure Data Lake Storage using Data Factory
  • Designed and implemented a real-time data pipeline to process semi-structured data by integrating 150 million raw records from various data sources using Databricks and Spark
  • Implemented efficient Logic apps, reducing manual notification efforts by 70% and ensuring real-time updates on job statuses to business users
  • In azure data factory, Incremental Load approach used for loading new data files/records
  • Storage account is used for azure data lake gen 2
  • Implementing Schedule and Event Triggers
  • Having knowledge on writing SQL queries by using various Joins, Keys, Sub queries.

Junior Data Engineer

Fronesis Solutions Pvt
Hyderabad
03.2020 - 03.2021
  • Having experience in Data Flows
  • Automated ETL processes across millions of rows of data, which reduced manual workload by 29% monthly
  • Main aim of this project is making sure data quality, which was helping business to understand the data with help of visualization
  • Engineered ETL Pipelines in Azure Synapse Analytics, optimizing data retrieval by 65%
  • Converted Parquet files to Delta files, reducing storage requirements by 30% and processing time by 50%
  • Implemented Logic apps for notifying email alerts to business team, if there are any failures
  • Working on ADF pipelines and Databases.

Education

M.Sc. Big Data Analytics -

Atlantic Technological University
06.2024

B.Tech. Computer Science and Engineering -

Malla Reddy College of Engineering
09.2021

Skills

  • Python
  • Big Data
  • ETL/ELT
  • Data Analysis
  • SQL
  • MYSQL
  • Microsoft SQL Server
  • Azure SQL
  • Microsoft Power BI
  • Spark
  • OOPS
  • Azure Data Factory
  • NumPy
  • Pandas
  • Exploratory Data Analysis(EDA)
  • Data Manipulation
  • Machine Learning
  • Azure Data Lake
  • Business Intelligence
  • Azure Data Lake Storage
  • Problem Solving
  • Databricks
  • Communication Skills
  • Azure Synapse Analytics
  • Reports
  • Visualization
  • Continuous Integration/Continuous Deployment (CI/ CD)
  • HTML
  • CSS
  • Java Script
  • Docker
  • Containerization
  • SSH
  • Unstructured Data

Languages

Telugu
First Language
English
Upper Intermediate (B2)
B2
Hindi
Upper Intermediate (B2)
B2

Timeline

Data Engineer - Fronesis Solutions Pvt
04.2021 - 04.2023
Junior Data Engineer - Fronesis Solutions Pvt
03.2020 - 03.2021
Atlantic Technological University - M.Sc. Big Data Analytics,
Malla Reddy College of Engineering - B.Tech. Computer Science and Engineering,
BHASKAR MOGUTHALA