Hitesh Modi Email & Phone Number
Who is Hitesh Modi? Overview
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Hitesh Modi is listed as AI Data Engineer at Omnicom Media, based in Mumbai, Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Hitesh Modi.
Hitesh Modi previously worked as Senior Data Engineer at Annalect India and Senior Data Engineer at Kinesso. Hitesh Modi holds Bms, Business from University Of Mumbai.
Email format at Omnicom Media
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About Hitesh Modi
Senior Data Engineer skilled in building End-to-End Bulk and Near real-time Data Ingestion Pipelines using Apache Airflow, DBT, Python, SQL, Snowflake, Pyspark, Kafka and AWS Cloud services: Lambda, Glue, Aurora, DynamoDB, CloudWatch, Event Bridge, Step Functions.
Listed skills include Presentation Skills, Collaborative Problem Solving, Planning, Public Speaking, and 34 others.
Hitesh Modi's current company
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Hitesh Modi work experience
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Senior Data Engineer
API Development: Developed API's for various reports over 4 different social media platforms that fetch around 100 GB of data per day for our client base. Used REST API's in combination with Apache Airbyte.Schema Evolution for Diverse Sources:Developed flexible schema evolution scripts in PySpark for both JSON and Starburst data sources, enabling seamless handling of schema changes, data type casting, and integration into Starburst tables.Iceberg Tables scheduled maintenance:Implemented and productionized a Glue job to optimize Iceberg tables by merging small partitions, removing old snapshots, and maintaining metadata, enhancing table efficiency and query performance
Senior Data Engineer
AWS end-to-end PySpark Bulk ingestion pipeline• Developed a Data Ingestion Pipeline integrating Excel frontend with Pysparkand Snowflake backend technologies for seamless bulk data ingestions.• Implemented Spark optimization techniques such as caching and broadcastjoins resulting in a 30% decrease in processing time for handling a daily load ofaround 30,00,000 records from 13 data sources.• Implemented scheduling capabilities, allowing forthe efficient orchestration ofdata pipelines, optimizing data processing workflows.Tech Stack Used: Pyspark, AWS EMR, AWS Lambda, AWS Glue, AWS S3, AWSEventBridge, AWS Step Functions, Snowflake Cloud, Github CI/CDOneprem to Snowflake CLoud Migrations• Led seamless migration of on-premises data pipelines (Alteryx, Python, Excel)ETL Processes to Snowflake SQL Views, enabling nearreal-time processing for13 sources.• Implemented Tableau Server and Dashboards for Batch and Near Real TimeBI needs Improved Data Analytics Process from 4 hours perreport to 10minutes,resulting in a 96% reduction in manual work.Tech Stack Used: Data modeling, Snowflake, Alteryx, AWS Redshift, PySpark, AWSEMR, AWS LambdaAutomated Snowflake View Generator• Created an Python API service to generate dynamic SQL views on Snowflake.Tech Stack Used: Python, Snowflake
Data Engineer
Public Relations Coordinator
Handling all social media accounts, blogs and landing pages for the rotract club of JaiHind college
Organizing Committee
Hitesh Modi education
Bms, Business
Frequently asked questions about Hitesh Modi
Quick answers generated from the profile data available on this page.
What company does Hitesh Modi work for?
Hitesh Modi works for Omnicom Media.
What is Hitesh Modi's role at Omnicom Media?
Hitesh Modi is listed as AI Data Engineer at Omnicom Media.
Where is Hitesh Modi based?
Hitesh Modi is based in Mumbai, Maharashtra, India while working with Omnicom Media.
What companies has Hitesh Modi worked for?
Hitesh Modi has worked for Omnicom Media, Annalect India, Kinesso, and Rotaract Club Of Jai Hind College (Rcjc).
How can I contact Hitesh Modi?
You can use AeroLeads to view verified contact signals for Hitesh Modi at Omnicom Media, including work email, phone, and LinkedIn data when available.
What schools did Hitesh Modi attend?
Hitesh Modi holds Bms, Business from University Of Mumbai.
What skills is Hitesh Modi known for?
Hitesh Modi is listed with skills including Presentation Skills, Collaborative Problem Solving, Planning, Public Speaking, Accounting, Corporate Finance, Strong Character, and Dax.
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