Lovenish Goyal

Software Engineer

Bengaluru, Karnataka, India12 yrs 9 mos experience

Highly Stable

Key Highlights

Built self-serve ingestion platform for Vedantu
Designed Kafka ecosystem for 600+ users
Reduced data processing latency by 60-90%

Stackforce AI infers this person is a Data Engineering Leader specializing in scalable data platforms and real-time analytics solutions.

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Skills

Core Skills

Data ArchitectureData EngineeringData Integration

Other Skills

Fivetran ETL ToolAmazon RedshiftData LakesRDBMSData StreamingPython (Programming Language)Data ModelingData ManipulationAmazon S3Data IngestionOptimizationMicroservicesPlatform DevelopmentApache KafkaContinuous Integration and Continuous Delivery (CI/CD)

About

Data Engineering Leader with 13+ years of experience designing scalable data platforms, real-time streaming systems, and enterprise analytics solutions across high-growth companies like Ola, PharmEasy, Vedantu. I specialize in building ingestion platforms, self-serve analytics frameworks, and real-time data ecosystems using Kafka, Flink, AWS, DBT, and Airflow. I’ve led teams of engineers, modernized legacy ecosystems, and reduced cloud spend by 35–45% through architectural redesign and Kubernetes migrations. Core strengths: • Data Architecture (DataLake, Warehouse, ETL/ELT) • Kafka/Flink Based Streaming & Real-Time Pipelines • Cloud Infrastructure & Cost Optimization (AWS) • DBT + Airflow (SSOT, Governance, Lineage) • Distributed Systems | Microservices | Kubernetes • Leading & mentoring data engineering teams Career Highlights: 🔥 Built Self-Serve Ingestion Platform used across 15+ sources at Vedantu 🏗 Designed Kafka → S3/Redshift ecosystem powering 600+ business users ⚙️ Migrated batch → streaming (Flink), reducing latency 60–90% 💰 Optimized AWS & warehouse infra — dropped cost 35–45%

Experience

12 yrs 9 mos

Total Experience

2 yrs 1 mo

Average Tenure

Current Experience

Vedantu

2 roles

Staff Data Engineer - Data Platform

Promoted

May 2022 – Sep 2024 · 2 yrs 4 mos

Fivetran ETL ToolAmazon RedshiftData LakesRDBMSData StreamingPython (Programming Language)+32

Technical Lead - Data Platform

Sep 2020 – Apr 2022 · 1 yr 7 mos

Amazon RedshiftRDBMSQuery OptimizationPython (Programming Language)Problem SolvingData Manipulation+22

Pharmeasy

SDE-II - Data Platform

Oct 2018 – Sep 2020 · 1 yr 11 mos · Bengaluru Area, India

Building data platform

Amazon RedshiftApache AmbariRDBMSQuery OptimizationPython (Programming Language)Qubole+34

Ola (ani technologies pvt ltd)

2 roles

SDE II - Data Platform

Promoted

Apr 2016 – Oct 2018 · 2 yrs 6 mos

RDBMSPostgreSQLProblem SolvingAmazon S3OptimizationExtract, Transform, Load (ETL)+16

SDE I - Data Platform

Aug 2015 – Mar 2016 · 7 mos

RDBMSPostgreSQLAmazon S3ETL ToolsData IntegrationBig Data Analytics+10

Admaxim

Software Engineer

May 2014 – Jul 2015 · 1 yr 2 mos · Pune Area, India

AdMaxim is a mobile advertising company that enables brands and agencies to deliver outstanding campaigns from start to finish, using powerful technology. AdMaxim’s products provide a solution for every key area of cutting edge digital marketing campaigns, all within one platform.
Technologies used:
Core Java, Hadoop, Hadoop-Streaming, Map-Reduce, Lucene, MongoDB, MySQL, SVN, Jenkins, MapDB
Developed projects using map-reduce and HDFS.
Analysis the data to create models.
Built "User Profile" to analysis user details which help us to target correct user.
Developed "Device Bridging" model to identify devices of a single user to target cross device advertising.
Developed "Precision Targeting" & "Feed Targeting" bases on RSS
Worked on various internal projects like Notification-alert, Reporting
Learnt Neo4j, Chyper Query language, MapDB, K-means algo RSS feed, xQuery