V

Vikash Garg

DevOps Engineer

Bengaluru, Karnataka, India7 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Architected cost-saving data ingestion frameworks.
  • Developed OLAP solutions processing 1 billion rows daily.
  • Implemented event-based triggers reducing EMR costs.
Stackforce AI infers this person is a Data Engineering professional with a strong focus on Big Data solutions in SaaS.

Contact

LinkedIn

Skills

Core Skills

Data EngineeringBig Data

Other Skills

AirflowAlgorithmsAmazon Elastic MapReduce (EMR)Amazon Web Services (AWS)Apache FlinkApache FlumeApache KafkaApache NiFiApache OozieApache SparkApache Spark StreamingApache ZeppelinArtificial Intelligence (AI)AzkabanAzure Data Factory

About

๐Ÿš€ ๐๐š๐ฌ๐ฌ๐ข๐จ๐ง๐š๐ญ๐ž ๐ƒ๐š๐ญ๐š ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ | ๐“๐ซ๐š๐ง๐ฌ๐Ÿ๐จ๐ซ๐ฆ๐ข๐ง๐  ๐•๐ข๐ฌ๐ข๐จ๐ง๐ฌ ๐ข๐ง๐ญ๐จ ๐ƒ๐š๐ญ๐š-๐ƒ๐ซ๐ข๐ฏ๐ž๐ง ๐‘๐ž๐š๐ฅ๐ข๐ญ๐ข๐ž๐ฌ ๐Ÿ’ก As a results-driven ๐’๐ž๐ง๐ข๐จ๐ซ ๐ƒ๐š๐ญ๐š ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ with over ๐Ÿ”+ ๐ฒ๐ž๐š๐ซ๐ฌ ๐จ๐Ÿ ๐ž๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž, I specialize in designing, architecting, and implementing scalable data platforms that reduce costs ๐Ÿ’ฐ, accelerate processing โšก, and unlock real-time insights for faster and smarter decision-making. My journey has always been centered around one goal โ€” turning raw data into real business impact. ๐Ÿ“Š At ๐๐š๐ฒ๐ญ๐ฆ, I led multiple cost-saving and performance optimization initiatives: ๐Ÿ’ก Implemented Zstd compression in Spark jobs โ€” saving $10K one-time and $16K monthly. โš™๏ธ Revamped OLAP systems for the Travel Vertical โ€” saving $1.5K/month and enabling instant dashboard loading. ๐Ÿ“ˆ Designed OLAP architectures across multiple verticals โ€” reducing infrastructure costs by 30% and improving data retrieval speeds by 40%. ๐Ÿชถ Migrated ETL pipelines to Airflow and implemented event-based triggers, cutting EMR costs by 13%. ๐Ÿค– Developed data scienceโ€“driven insights that boosted sales by 5%, reduced inventory by 7%, and improved decision-making across Fashion, Electronics, and Grocery verticals. ๐ŸŽฏ ๐Š๐ž๐ฒ ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐’๐ค๐ข๐ฅ๐ฅ๐ฌ ๐Ÿงฉ Programming: Python, Java, Scala, Data Structures & Algorithms ๐Ÿ—‚๏ธ Big Data Technologies: ETL, ELT, Hadoop, MapReduce, Sqoop, Hive, PySpark, SparkSQL, Airflow, Kafka, Iceberg, Debezium, Starburst, Trino, Presto, Snowflake, Flink, YARN, Delta Lake, Lakehouse, Data Warehousing, Data Modelling, Data Governance ๐Ÿ“Š Data Analysis & Visualization: Looker, Superset, BigQuery, Grafana, Zeppelin, Pandas, MySQL, PostgreSQL โ˜๏ธ Cloud Platforms: Azure (ADF, Synapse, Databricks, Data Lake, Storage, SQL, DW), AWS, GCP โš™๏ธ DevOps & Infra: Docker, GitHub, Jenkins, CI/CD, EKS, Shell Script, Terraform, Linux ๐Ÿ’ฌ ๐๐š๐ฌ๐ฌ๐ข๐จ๐ง๐š๐ญ๐ž ๐š๐›๐จ๐ฎ๐ญ ๐ฎ๐ฌ๐ข๐ง๐  ๐๐š๐ญ๐š ๐ญ๐จ ๐๐ซ๐ข๐ฏ๐ž ๐ข๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง ๐š๐ง๐ ๐›๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐ฌ๐ฎ๐œ๐œ๐ž๐ฌ๐ฌ, Iโ€™m always eager to connect with professionals and organizations who share a passion for scalable data platforms and impactful insights. Letโ€™s collaborate to transform ideas into data-driven realities. ๐ŸŒ ๐Ÿ“ž ๐‚๐จ๐ง๐ญ๐š๐œ๐ญ ๐ˆ๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐Ÿ“ง Email: vikashgargg@gmail.com ๐ŸŽฅ YouTube: https://www.youtube.com/@datasilicon ๐Ÿ’ป LeetCode: https://leetcode.com/vikashgargg/ ๐Ÿ† HackerRank: https://www.hackerrank.com/vikashgargg ๐Ÿ‘จโ€๐Ÿ’ป GitHub: https://github.com/vikashgargg

Experience

7 yrs 5 mos
Total Experience
2 yrs
Average Tenure
1 yr 4 mos
Current Experience

Cars24

Senior Data Platform Engineer - TL II (Data Platform Team)

Feb 2025 โ€“ Present ยท 1 yr 4 mos ยท Greater Bengaluru Area ยท On-site

  • Architected the DRIVE (Data Reliable Ingestion and Validation Engine) framework, streamlining data
  • pipelines and reducing monthly processing costs from $40,000 to $15,000, while improving SLA from hours to minutes.
  • Engineered an OLAP solution to monitor S3/EMR costs, achieving 15% cloud spending reduction and full cost transparency.
Apache SparkApache FlinkApache Spark StreamingAmazon Elastic MapReduce (EMR)Python (Programming Language)Data Engineering+1

Paytm

Data Engineer

May 2023 โ€“ Mar 2025 ยท 1 yr 10 mos ยท Bengaluru, Karnataka, India ยท Hybrid

  • Developed OLAP solutions processing 1 billion daily rows for Recharge, Utilities, Movies, and Travel verticals, reducing infrastructure costs by 30% and improving data retrieval speeds by 40%.
  • Efficiently Migrated data processing workflows from Hive to Starburst, delivering a significant 50% enhancement in query performance and reducing execution time by 30%.
  • Introduced event-based triggers in Airflow, reducing EMR costs by 13% and eliminating the need for hourly job runs.
  • Engineered a SQL optimizer, enhancing query performance by 50%, empowering Business Analysts with improved data retrieval.
JenkinsPySparkSQLContinuous Integration and Continuous Delivery (CI/CD)Grafanastarburst+16

Translab.io

Data Engineer

Jan 2021 โ€“ May 2023 ยท 2 yrs 4 mos ยท Bengaluru, Karnataka, India ยท Hybrid

  • Worked for
  • Client : Nova Scotia Power - Renowned Canada based utility company.
  • My day to day job was revolves around.
  • Improved data visualisation and analysis capabilities by 20%, as validated through user feedback, using Azure PaaS services.
  • Enhanced data integration efficiency by 25% by creating efficient data pipelines with Azure Data Factory, Databricks, synapse, Data lake.
  • Achieved a 30% increase in data extraction and loading efficiency, reducing processing time and enhancing throughput.
  • Implemented self-service ETL pipelines with SQL and PySpark, managing 1GB/day, decreasing manual labor by 40%, and boosting processing speed by 25%.
  • Developed data science solutions enhancing sales by 5%, reducing inventory by 7%, and delivering actionable insights across various verticals including Fashion, Electronics, and Groceries.
JavaAlgorithmsSynapseSoftware Development Life Cycle (SDLC)Apache SparkBig Data+34

Technocolabs

Data Science Intern

Dec 2020 โ€“ Jan 2021 ยท 1 mo ยท Remote

  • Created an appropriate classifier for classifying whether the posts
  • were created by bots.
  • Designed and developed Machine Learning application to identify social media trolls using LSTM model with accuracy of 98.3%
  • Used the trained models, we build a classifier for Twitter content
  • that predicts the likelihood of a given tweet whether it is created by a
  • troll bot in real time.

Fateinfo technologies

Chief Technology Officer

Nov 2020 โ€“ Dec 2020 ยท 1 mo ยท Bangalore Urban, Karnataka, India

  • Fixing IT-related issues, and responsible for developing, implementing, managing and evaluating the company's technological resources

Drdo, centre for airborne systems

Team Lead

Aug 2020 โ€“ Aug 2020 ยท 0 mo ยท Bengaluru, Karnataka, India

  • I was Team Lead of my Team "HOUSTON" . My team Houston is Winner of SMART INDIA HACKATHON 2020 for the Problem Statement Id CK107 (Video Based Dynamic Human Authentication System For Access Control) Proposed by Dpt. of Cyber Security, DRDO
  • It was overall Phenomenal Experience! . Also its helped me Nurturing my Leadership Skill
  • Glad to be the part of SIH2020

Finplex

Flutter App Developer and Machine Learning Developer

Jun 2020 โ€“ Jul 2020 ยท 1 mo ยท Bengaluru, Karnataka, India

  • Developed An Flutter Application called "FINPLEX" .

Crytonix consulting services private limited

PHP Web Developer

Oct 2019 โ€“ Jan 2021 ยท 1 yr 3 mos ยท India

  • Student Intern at CRYTONIX CONSULTING SERVICES PRIVATE LIMITED
  • Working As FULL STACK DEVELOPER
  • Developed QPDS(question paper distribution system) At SVCE ,Bangalore

Drivezy

Android Developer

Oct 2019 โ€“ Feb 2020 ยท 4 mos ยท India

  • Developed Android App for the Station Master Lite version

Skadibolt technologies pvt. ltd.

Python Developer And Machine Learning Developer

Jan 2019 โ€“ Jan 2021 ยท 2 yrs ยท Bangalore Urban, Karnataka, India ยท Remote

  • Build and Deploy ML models

Education

Sri Venkateshwara College of Engineering, BANGALORE

Bachelor of Engineering - BE โ€” Computer Science

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