Kushal L. — Product Manager
Connect : https://topmate.io/kushal_luthra/ Currently working as a Data Engineer at Apple GSSM Team.Prior experience -Worked as Senior Data Engineer at GoDaddy CorpTech Team, wherein was responsible for building up Human Capital management Datalake from scratch with sourcing data from multiple data sources, including workday, greenhouse, Docebo on AWS Stack. Problem statement includes handling of PII sensitive data using RBAC & Protegrity(3rd party tool).Worked as Senior Data Engineer at Adidas (involving ML-based products) as part of Digital Data Science Team.Served as the Lead for the Customer DNA and Strategic Segmentation in Adidas Digital Data Science team, wherein we are delivering over 200 ML based customer genes, being consumed across different verticals.Involved in defining Architecture, including identifying technology stack and building frameworks. Cross team collaboration and engagement with multiple stakeholders.Defined roadmap for MLOPs journey and led the implementation of the same.Worked as Lead Engineer at Airtel International (BigData & Analytics Team), wherein led the development of a data-driven product (Data Warehousing & Business Intelligence) - built from scratch, and aimed to be scalable (handles data that can be in Gigabytes and Terabytes) and replicable across 14 OpCos.Efficient team leader and mentor with a history of managing multiple squads. Expert in providing data driven strategic approach and creating reusable and scalable models. Building strategic assets to set up a long term sustainable operational and capability model in technology strategy arena.Have extensive experience that spans across various technologies, including Python, Spark, Spark Streaming, SQL, Hive, Presto, Hadoop, Apache Hudi, Airflow, Sqoop, Gitlab, BItBucket, CICD, Cloud (AWS).Have experience of migrating Data Solutions on legacy system to Big Data Stack.Have built data pipelines from scratch, with focus on data frameworks.Cloud : AWSPlatform : Databricks, Cloudera (CDP)Domain : Retail, Telecom and Sports products, HR Data, Supply Chain Management.Distributed Computing: Hadoop, HDFS, Yarn, SparkProgramming Languages: Python, ScalaData Modelling : Star Schema, Snowflake Schema, established modern data lake.Databases: Postgres, MySQL, Oracle ExadataGithub: https://github.com/kushal-luthraPublications : - https://kushal-luthra.github.io/big-data-architecture/ - https://kushal-luthra.github.io/data-engineering-101/Open to hearing about exciting information/opportunities in meaningful industries, more tech connections and both mentor/mentee relationships.
Stackforce AI infers this person is a Data Engineering expert with a focus on scalable solutions in HR Tech and Retail.
Location: New Delhi, Delhi, India
Experience: 12 yrs
Skills
- Data Architecture
- Data Governance
- Data Engineering
- Mlops
- Business Intelligence
Career Highlights
- Expert in building scalable data solutions.
- Led MLOps implementation for strategic data initiatives.
- Extensive experience across diverse industries.
Work Experience
Apple
Data Architect (4 mos)
GoDaddy
Senior Data Engineer (6 mos)
adidas
Senior Data Engineering Manager (2 yrs 7 mos)
Airtel International LLP-Airtel Africa
Lead Engineer (Big Data - Data Engineering) (1 yr 7 mos)
dunnhumby
Lead Data Developer (3 yrs 10 mos)
DecisionStats
Data Science Intern (4 mos)
dunnhumby
senior data developer (1 yr 2 mos)
Data Solution Developer (8 mos)
Associate Data Engineer (1 yr 4 mos)
Education
Bachelor of Engineering (B.E.) at Netaji Subhas University of Technology
at St Francis De Sales Public School, Delhi