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Tushar Singhal

9+ years in Data engineering with expertise in building large-scale distributed systems, including data platforms and modernizing data systems. Recently focused on developing a high-scale dynamic Data Ingestion Platform at Intuit. Skilled in creating data products for the retail and finance industries, ensuring data compliance and governance. Experienced in technical optimizations and performance tuning for large-scale data pipelines, enhancing response times and ensuring timely data delivery.
  • Role

    Data Engineer II

  • Years of Experience

    9 years

  • Professional Portfolio

    View here

Skillsets

  • Oracle
  • Airflow
  • CICD
  • Data Pipelines
  • Delta Lake
  • dimensional data modeling
  • Docker
  • Kafka
  • Kubernetes
  • MySQL
  • OOPs
  • Git
  • Postgres
  • Problem Solving
  • Project Planning
  • RDBMS
  • Scrum Master
  • Spark Core
  • Spark Streaming
  • Splunk
  • SQL
  • Star/snowflake schema design
  • AWS Cloud
  • Hadoop - 9 Years
  • Jenkins
  • Git
  • DynamoDB
  • Ansible
  • Lambda
  • EC2
  • Scala
  • Maven
  • Hive
  • Python
  • S3
  • HDFS
  • EMR
  • Data warehouse
  • Oozie
  • YARN
  • distributed data platforms
  • Data lake
  • IntelliJ

Professional Summary

9Years
  • Jul, 2021 - Present4 yr 6 months

    Data Engineer II

    Intuit India Technology Service LLP Ltd
  • Apr, 2019 - Jul, 20212 yr 3 months

    Specialist Software Engineer

    Societe Generale Global Solution Centre
  • Dec, 2017 - Apr, 20191 yr 4 months

    Data Engineer

    Target Corporation India
  • Aug, 2015 - Dec, 20172 yr 4 months

    Big Data Engineer

    Tata Consultancy Services

Applications & Tools Known

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    Spark

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    Hadoop

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    Scala

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    Python

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    Java

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    Hive

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    Impala

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    Oozie

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    Yarn

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    HDFS

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    AWS Cloud

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    S3

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    EC2

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    Lambda

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    EMR

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    DynamoDB

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    Git

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    Maven

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    Intellij

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    Jenkins

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    Ansible

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    Spring Boot

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    Maven

Work History

9Years

Data Engineer II

Intuit India Technology Service LLP Ltd
Jul, 2021 - Present4 yr 6 months
    Centralized Ingestion Platform accommodating 200+ company-wide finance data pipelines processing ~5B events daily. Built robust data ingestion products leveraging AWS EMR, Spark, and Scala. Enhanced data compliance standards to meet CCPA regulations.

Specialist Software Engineer

Societe Generale Global Solution Centre
Apr, 2019 - Jul, 20212 yr 3 months
    Orchestrated data collection from diverse sources for regulatory reporting using Spark and Scala. Automated reporting tools and enforced data compliance standards like GDPR. Improved team efficiency using automation solutions.

Data Engineer

Target Corporation India
Dec, 2017 - Apr, 20191 yr 4 months
    Analyzed web sales datasets to enhance customer experience using technologies like Hive and Spark. Built and modernized data ingestion systems for high-volume datasets. Conducted proof-of-concept projects using Elasticsearch.

Big Data Engineer

Tata Consultancy Services
Aug, 2015 - Dec, 20172 yr 4 months
    Designed and built data processing products for large-scale datasets. Developed a SQL-to-Spark adaptor framework improving development time. Built data lakes with processed clean data for consumers.

Achievements

  • Stronger Together x 11 2021 - 2024
  • Customer Obsession x 5 2021 - 2024
  • Excellence in Innovation April 2019
  • Pyramid Award April 2018
  • Quick TurnAround January 2017
  • Stronger Together x 11 2021 - 2024 Intuit
  • Customer Obsession x 5 2021 - 2024 Intuit
  • Excellence in Innovation April 2019 Societe Generale
  • Pyramid Award April 2018 Target Corporation
  • Quick TurnAround January 2017 Tata Consultancy Services

Major Projects

2Projects

RESOURCE EFFICIENT PARTIAL BOOTSTRAP 2413120US

May, 2024 - Present1 yr 7 months
    This patent addresses the issue of data inconsistency between source and destination in highly transactional datasets. It offers an efficient method to compare and resolve data discrepancies, ensuring synchronization between the source and destination datasets.

RESOURCE EFFICIENT PARTIAL BOOTSTRAP

May, 2024 - Present1 yr 7 months
    This patent addresses the issue of data inconsistency in highly transactional datasets. It offers a method to compare and resolve discrepancies, ensuring synchronization between source and destination datasets.

Education

  • B. Tech Information Technology

    (2015)

Certifications

  • Mapr certified hadoop developer march 2016

  • Oracle certified java professional november 2016