Vikash Garg
π πππ¬π¬π’π¨π§πππ ππππ ππ§π π’π§πππ« ππ«ππ§π¬ππ¨π«π¦π’π§π ππ’π¬π’π¨π§π¬ π’π§ππ¨ ππππ-ππ«π’π―ππ§ ππππ₯π’ππ’ππ¬. As a results-driven ππππ ππ§π π’π§πππ« with over 4 years... | Bengaluru, Bengaluru, India
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Vikash Gargβs Emails vi****@yo****.com
Vikash Gargβs Phone Numbers No phone number available.
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Vikash Gargβs Location Bengaluru, Bengaluru, India
Vikash Gargβs Expertise π πππ¬π¬π’π¨π§πππ ππππ ππ§π π’π§πππ« ππ«ππ§π¬ππ¨π«π¦π’π§π ππ’π¬π’π¨π§π¬ π’π§ππ¨ ππππ-ππ«π’π―ππ§ ππππ₯π’ππ’ππ¬. As a results-driven ππππ ππ§π π’π§πππ« with over 4 years of experience, I specialize in designing and implementing scalable data solutions that significantly reduce costs, improve data processing efficiency, and enhance data retrieval speeds. My expertise spans big data technologies, cloud platforms, and robust ETL pipelines. I am eager to leverage my technical skills and problem-solving abilities to contribute to a leading tech company. At Paytm, I spearheaded cost-saving initiatives, including implementing Zstd compression in Spark jobs, saving 10,000 one-time and 16,000 monthly. Revamping OLAP for the Travel Vertical saved 1,500 monthly and enabled instantaneous dashboard loading. My OLAP solutions for various verticals reduced infrastructure costs by 30% and improved data retrieval speeds by 40%. Transitioning ETL pipelines to Airflow and introducing event-based triggers cut EMR costs by 13%. During my tenure at Translab.io, I enhanced data visualization and integration efficiency, creating data pipelines that significantly improved processing times and throughput. At NextOrbit, I implemented self-service ETL pipelines that reduced manual labor by 40% and boosted processing speed by 25%. My data science solutions increased sales and reduced inventory across multiple verticals, including Fashion, Electronics, and Groceries. πππ² ππππ‘π§π’πππ₯ ππ€π’π₯π₯π¬: πΉ Programming Languages: Python, Java, Scala. πΉ Big Data Technologies: ETL, ELT, Hadoop, MapReduce, Sqoop, Hive, PySpark, SparkSQL, Airflow, Kafka, Azkaban, Starburst, Trino, Presto, Flink, Yarn, Delta lake, Data warehousing, Dimensional Modelling. πΉ Data Analysis & Visualisation: Looker, Superset, BigQuery, Grafana, Zeppelin, Pandas, MySQL, PostgreSQL. πΉ Cloud Platforms: Azure (ADF, Synapse, Databricks, Data Lake, Storage, SQL, DW), AWS, GCP. πΉ DevOps: Docker, Jenkins, CI/CD, EKS, Shell-Script, Linux. Passionate about using data to drive business success, I am always seeking opportunities to connect with like-minded professionals and innovative organizations. Let's explore how my expertise can help your team achieve its strategic goals and foster innovation. ππ¨π§ππππ ππ§ππ¨π«π¦πππ’π¨π§: πΉ Contact : [email protected] πΉ YouTube : https://www.youtube.com/@datasilicon πΉ LeetCode : https://leetcode.com/vikashgargg/ πΉ Hackerrank : https://www.hackerrank.com/vikashgargg πΉ Github : https://github.com/vikashgargg
Vikash Gargβs Current Industry Paytm
Vikash
Gargβs Prior Industry
Crytonix Consulting Services
|
Drivezy
|
Finplex
|
Skadibolt Technologies
|
Drdo Centre For Airborne Systems
|
Fateinfo Technologies
|
Technocolabs
|
Nextorbit
|
Translab Io
|
Paytm
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Work Experience
Paytm
Data Engineer
Mon May 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) β Present
Translab Io
Data Engineer
Tue Feb 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) β Mon May 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Nextorbit
Software Engineer
Fri Jan 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) β Sat Jan 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Technocolabs
Data Science Intern
Tue Dec 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) β Fri Jan 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Fateinfo Technologies
Chief Technology Officer
Sun Nov 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) β Tue Dec 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Skadibolt Technologies
Python Developer And Machine Learning Developer
Sat Aug 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) β Thu Oct 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Drdo Centre For Airborne Systems
Team Lead
Sat Aug 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) β Sat Aug 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Finplex
Flutter App Developer And Machine Learning Developer
Mon Jun 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) β Wed Jul 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Crytonix Consulting Services
Php Web Developer
Tue Oct 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) β Fri Jan 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Drivezy
Android Developer
Tue Oct 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) β Sat Feb 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)Skills
Languages
Vikash Garg Email Addresses
FAQ About Vikash Garg
-
Vikash Garg is located at
Bengaluru, Bengaluru, India -
Vikash Garg is a
π πππ¬π¬π’π¨π§πππ ππππ ππ§π π’π§πππ« ππ«ππ§π¬ππ¨π«π¦π’π§π ππ’π¬π’π¨π§π¬ π’π§ππ¨ ππππ-ππ«π’π―ππ§ ππππ₯π’ππ’ππ¬. As a results-driven ππππ ππ§π π’π§πππ« with over 4 years of experience, I specialize in designing and implementing scalable data solutions that significantly reduce costs, improve data processing efficiency, and enhance data retrieval speeds. My expertise spans big data technologies, cloud platforms, and robust ETL pipelines. I am eager to leverage my technical skills and problem-solving abilities to contribute to a leading tech company. At Paytm, I spearheaded cost-saving initiatives, including implementing Zstd compression in Spark jobs, saving 10,000 one-time and 16,000 monthly. Revamping OLAP for the Travel Vertical saved 1,500 monthly and enabled instantaneous dashboard loading. My OLAP solutions for various verticals reduced infrastructure costs by 30% and improved data retrieval speeds by 40%. Transitioning ETL pipelines to Airflow and introducing event-based triggers cut EMR costs by 13%. During my tenure at Translab.io, I enhanced data visualization and integration efficiency, creating data pipelines that significantly improved processing times and throughput. At NextOrbit, I implemented self-service ETL pipelines that reduced manual labor by 40% and boosted processing speed by 25%. My data science solutions increased sales and reduced inventory across multiple verticals, including Fashion, Electronics, and Groceries. πππ² ππππ‘π§π’πππ₯ ππ€π’π₯π₯π¬: πΉ Programming Languages: Python, Java, Scala. πΉ Big Data Technologies: ETL, ELT, Hadoop, MapReduce, Sqoop, Hive, PySpark, SparkSQL, Airflow, Kafka, Azkaban, Starburst, Trino, Presto, Flink, Yarn, Delta lake, Data warehousing, Dimensional Modelling. πΉ Data Analysis & Visualisation: Looker, Superset, BigQuery, Grafana, Zeppelin, Pandas, MySQL, PostgreSQL. πΉ Cloud Platforms: Azure (ADF, Synapse, Databricks, Data Lake, Storage, SQL, DW), AWS, GCP. πΉ DevOps: Docker, Jenkins, CI/CD, EKS, Shell-Script, Linux. Passionate about using data to drive business success, I am always seeking opportunities to connect with like-minded professionals and innovative organizations. Let's explore how my expertise can help your team achieve its strategic goals and foster innovation. ππ¨π§ππππ ππ§ππ¨π«π¦πππ’π¨π§: πΉ Contact : [email protected] πΉ YouTube : https://www.youtube.com/@datasilicon πΉ LeetCode : https://leetcode.com/vikashgargg/ πΉ Hackerrank : https://www.hackerrank.com/vikashgargg πΉ Github : https://github.com/vikashgargg Paytm -
Vikash Garg currently works in the
Paytm -
Vikash Garg specializes in
π πππ¬π¬π’π¨π§πππ ππππ ππ§π π’π§πππ« ππ«ππ§π¬ππ¨π«π¦π’π§π ππ’π¬π’π¨π§π¬ π’π§ππ¨ ππππ-ππ«π’π―ππ§ ππππ₯π’ππ’ππ¬. As a results-driven ππππ ππ§π π’π§πππ« with over 4 years of experience, I specialize in designing and implementing scalable data solutions that significantly reduce costs, improve data processing efficiency, and enhance data retrieval speeds. My expertise spans big data technologies, cloud platforms, and robust ETL pipelines. I am eager to leverage my technical skills and problem-solving abilities to contribute to a leading tech company. At Paytm, I spearheaded cost-saving initiatives, including implementing Zstd compression in Spark jobs, saving 10,000 one-time and 16,000 monthly. Revamping OLAP for the Travel Vertical saved 1,500 monthly and enabled instantaneous dashboard loading. My OLAP solutions for various verticals reduced infrastructure costs by 30% and improved data retrieval speeds by 40%. Transitioning ETL pipelines to Airflow and introducing event-based triggers cut EMR costs by 13%. During my tenure at Translab.io, I enhanced data visualization and integration efficiency, creating data pipelines that significantly improved processing times and throughput. At NextOrbit, I implemented self-service ETL pipelines that reduced manual labor by 40% and boosted processing speed by 25%. My data science solutions increased sales and reduced inventory across multiple verticals, including Fashion, Electronics, and Groceries. πππ² ππππ‘π§π’πππ₯ ππ€π’π₯π₯π¬: πΉ Programming Languages: Python, Java, Scala. πΉ Big Data Technologies: ETL, ELT, Hadoop, MapReduce, Sqoop, Hive, PySpark, SparkSQL, Airflow, Kafka, Azkaban, Starburst, Trino, Presto, Flink, Yarn, Delta lake, Data warehousing, Dimensional Modelling. πΉ Data Analysis & Visualisation: Looker, Superset, BigQuery, Grafana, Zeppelin, Pandas, MySQL, PostgreSQL. πΉ Cloud Platforms: Azure (ADF, Synapse, Databricks, Data Lake, Storage, SQL, DW), AWS, GCP. πΉ DevOps: Docker, Jenkins, CI/CD, EKS, Shell-Script, Linux. Passionate about using data to drive business success, I am always seeking opportunities to connect with like-minded professionals and innovative organizations. Let's explore how my expertise can help your team achieve its strategic goals and foster innovation. ππ¨π§ππππ ππ§ππ¨π«π¦πππ’π¨π§: πΉ Contact : [email protected] πΉ YouTube : https://www.youtube.com/@datasilicon πΉ LeetCode : https://leetcode.com/vikashgargg/ πΉ Hackerrank : https://www.hackerrank.com/vikashgargg πΉ Github : https://github.com/vikashgargg -
Vikash Garg speaks the following languages:
No languages available. -
Vikash Garg has prior experience in the following industries:
Translab Io , Nextorbit , Technocolabs , Fateinfo Technologies , Skadibolt Technologies , Drdo Centre For Airborne Systems , Finplex , Crytonix Consulting Services , Drivezy -
Vikash Garg has the following professional experience:
Paytm , Translab Io , Nextorbit , Technocolabs , Fateinfo Technologies , Skadibolt Technologies , Drdo Centre For Airborne Systems , Finplex , Crytonix Consulting Services , Drivezy . -
You can view Vikash Gargβs
LinkedIn profile at LinkedIn URL. -
Vikash Gargβs work email addresses are
[email protected] . -
Vikash Garg works at
Paytm
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