Summary
Overview
Work History
Education
Skills
Certification
Timeline
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SAILESH REDDY INDUKURU

Beaumont,USA

Summary

Data Engineer with strong skills in SQL, GCP, Python, and AWS technologies. Experienced in building and improving data storage solutions, ETL pipelines, and handling large datasets using Apache Spark and PySpark. Skilled in writing SQL queries, automating processes with Apache Airflow and Apache NiFi, and working with both structured and unstructured data. Proficient in using Tableau, Power BI, and AWS QuickSight to create easy-to-understand reports. Familiar with AWS services like Redshift, S3, EC2, Glue, and Lambda. Passionate about using data to help businesses make better decisions and improve overall performance.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Research Data Engineer

Lamar University
Beaumont, USA
01.2023 - 12.2024
  • Developed real-time data collection pipelines for cybersecurity threat detection, integrating machine learning models to analyze network traffic and identify anomalies
  • Engineered secure data storage solutions for large-scale cybersecurity datasets, ensuring compliance with industry standards and optimizing retrieval efficiency
  • Implemented AI-driven threat detection algorithms to enhance cybersecurity in midstream infrastructure, improving response time to potential cyber threats
  • Collaborated with cross-functional teams to design testbeds for real-time cybersecurity simulations, enabling proactive defense strategies against emerging cyber risks
  • Optimized data preprocessing techniques to clean, transform, and analyze cybersecurity logs, increasing model accuracy and reducing false positives by 30%

Data Engineer

BDM Innovative Solutions
04.2020 - 05.2023
  • Developed and optimized data pipelines to process user behavior data, purchase history, and product interactions for building an AI-driven recommendation engine on the website
  • Implemented collaborative filtering and content-based recommendation models using Python, Spark, and SQL, improving product suggestions and enhancing user engagement
  • Designed and maintained a real-time data processing system leveraging Kafka and AWS Kinesis, enabling instant updates to personalized product recommendations
  • Built scalable data storage solutions using AWS Redshift, S3, and NoSQL databases (MongoDB, DynamoDB) to efficiently manage structured and unstructured data
  • Developed and automated ETL workflows using Apache Airflow and AWS Glue, ensuring seamless data integration from various sources into a centralized recommendation system
  • Created interactive dashboards using Power BI and Tableau to track recommendation performance, user engagement metrics, and conversion rates

Education

Master’s degree - Management Information Systems

Lamar University
Beaumont, TX

Bachelor’s degree - Mechanical Engineering

CREC College
Tirupati, AP

Skills

  • SQL
  • PostgreSQL
  • MySQL
  • AWS Redshift
  • Apache Spark
  • PySpark
  • Hadoop
  • Scala
  • Apache NiFi
  • Airflow
  • AWS Glue
  • Python
  • R
  • Java
  • Tableau
  • AWS QuickSight
  • Power BI
  • Google Data Studio
  • GCP
  • AWS (S3, EC2, Lambda, Glue, Redshift)

Certification

  • Data Programming with SQL, Oracle
  • Salesforce Trailhead Certified – Big Objects, Data Modelling, Data Security

Timeline

Research Data Engineer

Lamar University
01.2023 - 12.2024

Data Engineer

BDM Innovative Solutions
04.2020 - 05.2023

Master’s degree - Management Information Systems

Lamar University

Bachelor’s degree - Mechanical Engineering

CREC College

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SAILESH REDDY INDUKURU