Summary
Overview
Work History
Education
Skills
Timeline
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ADITHYA NAINI

Little Elm,TX

Summary

Data professional with proven track record in developing cutting-edge in data engineering. Adept at designing and implementing machine learning models that solve complex problems. Focused on team collaboration and delivering reliable solutions that adapt to changing requirements. Expertise in providing end to end data solutions and data analysis.

Overview

15
15
years of professional experience

Work History

Data & AI Engineer

Microsoft
01.2023 - Current
  • Working in Fabric and Synapse solutions to build end to end pipelines for higher performance
  • Working experience in AI and ML models , which connects to database and create custom AI models.
  • Responsible for providing data architectural solutions to supply management team of warehouse.
  • Working with offshore and manage the delivery of products.
  • Working in Synapse analytics layer of data products

Data Architect

Ahold Delhaize
04.2020 - 12.2023
  • Responsible for providing data architectural solutions to supply management team of warehouse.
  • Working closely with business managers and forecasting team to generate the reports on data.
  • Designing the solutions in Microsoft Azure
  • Experience building solutions in Azure databricks and Synapse Analytics.
  • Experience in designing the power BI reports for end customers
  • Leading the team in offshore
  • To meet specific requirements wrote UDF’s in pyspark.

Cloud Data Engineer

STUBHUB INC, SFO, CA
08.2019 - 04.2020
  • Responsible for data fixes in Hadoop Environment.
  • Leading the team for Hadoop decommission so that entire data is available in GCP.
  • Working closely with analytics and business team for pricing optimization scenarios.
  • Working Experience with product application managers on getting the requirements and bringing it to closure.
  • Successful migration and building new data warehouse in Azure cloud which is the key factor of saving around 20% on project Infrastructure
  • Visualization dashboards published in cloud for data analytics which helped business and end users to migrate from traditional app-based reporting.

Azure/Hadoop Data Engineer

AmerisourceBergen - Dallas, TX
10.2018 - 08.2019
  • Creating Azure Data factories and data pipelines for loading the data to Azure SQL data warehouse from text files and on-premises databases.
  • Exposure to Spark Machine Learning algorithms and pyspark for in-memory computations for larger datasets.
  • Configured Spark streaming to get ongoing information from the Kafka and store the stream information to HDFS.
  • Extract Real time feed using Kafka and Spark Streaming and convert it to RDD and process data in the form of Data Frame and save the data as Parquet format in HDFS


Azure Data Engineer

Microsoft - Redmond, WA
03.2017 - 09.2018
  • Creating Azure Data factories and data pipelines for loading the data to Azure SQL database from Cosmos platform.
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Managed the key project CS & sales in Microsoft for customer support service.
  • Successful migration of Project to Cloud.
  • Reduced the cost to 10% of project Infrastructure.
  • Processed the larger data sets through Big data technologies for more real time data.
  • Working Experience with nearly 40 Business application managers on getting the requirements and bringing it to closure.

SSIS/SSAS/T-SQL

Microsoft-Redmond, WA
04.2014 - 03.2017
  • Built business intelligence and data visualization dashboards using various technologies such as Microsoft Power BI.
  • Involved in designing Parameterized Reports for generating Ad-Hoc reports as per the client requirements.
  • Gathered business requirements, definition and design of the data sources and data flows.
  • Configured the loading of data into slowly changing dimensions using Slowly Changing Dimension wizard.
  • Designed and created Report templates, bar graphs and pie charts based on the financial data.
  • Created complex stored procedures, triggers, cursors, tables, and views, using T-SQL.
  • Self-motivated, with a strong sense of personal responsibility.
  • Worked effectively in fast-paced environments.

Tableau/SSIS Developer

AT&T
05.2010 - 04.2014
  • Involved in writing stored procedures, Triggers, User-defined Functions, Views, and Cursors for both Online and Batch requests handling business logic and functionality of various modules.
  • Increased efficiency by automating manual tasks using SSIS features such as loops and event handlers.
  • Wrote Procedures and database triggers for the validation of input data and to implement business rules Developed several SQL reports for the Business Users to check the post processing rules.
  • Conducted thorough testing of developed solutions to guarantee functionality, accuracy, and reliability before deployment.
  • Reduced data processing time with efficient SSIS package designs and performance tuning techniques.
  • Utilized various SSIS tools like Data Flow Task, Execute SQL Task, Script Task to achieve desired outcomes within set deadlines.
  • Resolved complex business issues, proposing long-term solutions to avoid repeat problems.

Education

Bachelor of Computer Science - Computer Science

JNTU Hyderabad
India
04-2010

Skills

  • Probability theory
  • PyTorch framework
  • Model evaluation
  • Python programming
  • Data science
  • Big data analytics
  • Machine learning
  • Data analytics
  • Big data technologies
  • Problem-solving abilities
  • Excellent communication
  • Team building

Timeline

Data & AI Engineer

Microsoft
01.2023 - Current

Data Architect

Ahold Delhaize
04.2020 - 12.2023

Cloud Data Engineer

STUBHUB INC, SFO, CA
08.2019 - 04.2020

Azure/Hadoop Data Engineer

AmerisourceBergen - Dallas, TX
10.2018 - 08.2019

Azure Data Engineer

Microsoft - Redmond, WA
03.2017 - 09.2018

SSIS/SSAS/T-SQL

Microsoft-Redmond, WA
04.2014 - 03.2017

Tableau/SSIS Developer

AT&T
05.2010 - 04.2014

Bachelor of Computer Science - Computer Science

JNTU Hyderabad

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