Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic
Naga Akhil Desabattina

Naga Akhil Desabattina

Ashburn,VA

Summary

Practical Data Engineer possessing in-depth knowledge of data manipulation techniques and computer programming paired with expertise in integrating and implementing new software packages and new products into system. Offering 4-year background managing various aspects of development, design and delivery of database solutions. Tech-savvy and independent professional bringing outstanding communication and organizational abilities.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Software Engineer

Amazon Web Services
Seattle, WA
06.2022 - 06.2023
  • Performed patching work on both Application and Classic Load Balancers across a total of 31 regions. This involved ensuring the robustness and stability of these crucial components within the AWS infrastructure.
  • Engaged in the entire software development lifecycle, from initial planning and design to deployment and ongoing maintenance. This comprehensive approach was integral in delivering high-quality software solutions.
  • Devised and implemented alarms and monitoring systems for a staggering 12 million nodes. These monitoring systems allowed for real-time tracking of job runs within specific time intervals.
  • Pioneered the creation of structural validations for patched load balancers present across 31 regions and their respective availability zones. These validations were instrumental in maintaining the reliability and integrity of the load balancers.
  • Significantly optimized the time required to generate metrics for nearly 12 million classic load balancer nodes, reducing the processing time from 1 hour and 10 minutes to a mere 180 seconds. This efficiency enhancement greatly improved the overall operational effectiveness.
  • Executed meticulous validations for various Elastic Load Balancer (ELB) nodes across multiple availability zones, ensuring the accurate collection of metrics over short time intervals. This was vital in maintaining the quality and consistency of data.
  • Leveraged Live Pipeline Templates to create various pipelines, streamlining the code processing for different packages and facilitating their seamless deployment into the production environment.
  • Employed rigorous unit testing and other quality-enhancing techniques to consistently improve the software's reliability and performance.

Research Analyst

New Jersey Institute of Technology
Newark, NJ
10.2021 - 12.2021
  • Conducted statistical and quantitative analysis, along with comprehensive data collection of vehicular data for research purposes, amounting to a substantial dataset of 10 GB.
  • Meticulously documented the findings derived from the analysis, ensuring a clear and detailed record of the research outcomes.
  • As a significant part of the research endeavor, I successfully identified instances when vehicle traffic experienced a substantial increase, specifically reaching a 50% surge. This critical insight was pivotal in understanding and potentially addressing traffic dynamics.

Data Engineer

Tata Consultancy Services
07.2018 - 01.2021
  • Implementing extraction, transformation, and loading (ETL) processes using SAP BODS ETL tool. These processes were designed to efficiently collect data from various databases and upload it to Google Cloud Platform BigQuery Tables, ensuring the availability of data for analytical and business intelligence purposes.
  • Have good experience working on Azure Services such as Azure Data Lake Storage (ADLS), Unity Catalog, Databricks, and Azure Synapse.
  • Worked on Azure Data Lake Storage to store the data present at various data sources such as Oracle data base etc.,
  • Have a good understading on Alation.
  • Building and maintaining scalable ETL processes within IBM DataStage. These processes were instrumental in migrating a substantial portion of project data, approximately 70%, from Teradata databases and ODBC databases to Google Cloud, optimizing data management
  • Experienced in Architecting and building Data Warehouse systems and Business Intelligence systems including ETL using Pentaho BI Suite (Pentaho Data Integration Designer / Kettle.
  • Used various steps in Pentaho transformations including Row Normalizer, Row Demoralizer.
  • Database Lookup, Database Join, Calculator, Add Sequence, Add Constants and various types of inputs and outputs for various data sources including Tables, Access, Text File, Excel and CSV file.
  • Orchestrated the scheduling of ETL jobs in the production environment using SAP BODS job scheduler and IBM DataStage InfoSphere, ensuring the timely and reliable execution of data processes.
  • Engaged with customers by presenting project updates, gathering feedback, and assessing satisfaction, thereby fostering a collaborative and customer-centric approach.
  • Pioneered the creation and implementation of intricate business intelligence solutions, aligning with the organization's datadriven objectives.
  • Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse

Education

Master of Science - Data Science

New Jersey Institute of Technology
Newark, NJ
05.2022

Bachelor of Technology (BTech) - Electronics and Communication Engineering

Jawaharlal Nehru Technology University
Hyde, PA
06.2018

Skills

TECHNICAL FORTE:

Languages:

Bash Script, Scala, Python, SQL, Java script and C/C

Big Data Ecosystem:

Hadoop, MapReduce, Kafka, Spark, Pig, Hive, YARN

Oozie, Zookeeper, Talend

Hadoop Distribution:

Cloudera Enterprise, Data Bricks, Horton Works, EMC Pivotal

Certifications:

Microsoft Certified in Azure Fundamentals AZ900

Tableau Desktop Specialist – TDS

Databases:

Oracle, SQL Server, PostgreSQL, MySQL, Teradata

Cloud:

AWS, Azure, AWS EMR, Glue, RDS, Kinesis, DynamoDB, Redshift Cluster, GCP (Google cloud platform), Azure Data Lake Storage (ADLS), Unity Catalog, Databricks, and Azure Synapse

Tools and Technologies:

JSP, Spring (Boot, MVC, Batch, Security), Web Services

Maven, GitHub

Tools & Environment:

Hadoop, MapReduce, HDFS, Hive, Java, SQL, Cloudera Manager, Pig, Sqoop, Zookeeper, Teradata, PL/SQL, MySQL, HBase, DataStage, ETL(Informatica/SSIS), SAP BODS (Business Objects Data Services),, Informatica, Snowflake, Tableau, DataBricks, Matlab, GIT, JIRA, Visual Studio Code (VSCode), Intellij

Certification

  • Snowflake Pro Certified.
  • Microsoft Certified: Azure Fundamentals
  • Artificial Intelligence and Machine Learning: IIT Kanpur
  • IBM Data Science Orientation: Coursera

Timeline

Software Engineer

Amazon Web Services
06.2022 - 06.2023

Research Analyst

New Jersey Institute of Technology
10.2021 - 12.2021

Data Engineer

Tata Consultancy Services
07.2018 - 01.2021

Master of Science - Data Science

New Jersey Institute of Technology

Bachelor of Technology (BTech) - Electronics and Communication Engineering

Jawaharlal Nehru Technology University
Naga Akhil Desabattina