Hemabh Kamboj

Data Engineer

New Delhi, Delhi, India9 yrs experience

Highly Stable

Key Highlights

Reduced engineering dependency by 50% at Animall.
Optimized cloud infrastructure costs by 50% in two months.
Built load-aware scaling interface for Python workloads.

Stackforce AI infers this person is a Data Engineering expert in SaaS with strong cloud infrastructure skills.

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Skills

Core Skills

Data EngineeringCloud Infrastructure

Other Skills

AWSAmazon Web Services (AWS)Apache AirflowApache AtlasBack-End Web DevelopmentC++Cross-functional Team LeadershipData OrchestrationDatabricks ProductsElasticsearchFirebaseFlaskGitGoogle Cloud Platform (GCP)JavaScript

About

I am a Data Engineer with a good history of working with Hive, Apache Airflow, Prestosql(trino), Argo workflow engine. Exposure to avid cloud technologies from major cloud service providers like AWS. Understanding of CI/CD pipelines, GitOps, Containerization, and cluster architecture over Kubernetes. Maintaining core logging pipelines using, Fluentd, Prometheus, Statsd, Logstash, and powered production analytics with Kibana and Grafana. Experience in Python and GoLang has helped me perform well with the above tools. Apart from this, I have got a couple of years of experience in driving data projects within organizations. From upskilling excel users to learning SQL and writing complex SQL queries. This has been my daily work while interning at Atlan. Understanding user stories and helping the team product team shape the product better was one of my contributions. I have grown through a journey from a python script writer to maintaining the whole stack and constant learning is an integral part of this journey. - Built a load aware scaling interface for resource intensive python workloads using AWS EKS . This helped customers to run data science use cases under existing ETL pipelining architecture in a cost eﬀective manner - Built CLI based internal tooling which helped to avoid cascading failures, ﬁx issues with data, and restore business as usual in case of failures. -Built metadata recommendation bots, built over Argo orchestration layer. - Setup ETL pipelines, data warehouse and BI layer at Animall - Built MLOps pipelines for Data Science team

Experience

Stage

Data Engineer

Jan 2025 – Present · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site

Animall

2 roles

Senior Data Engineer

Promoted

Oct 2023 – May 2025 · 1 yr 7 mos · Gurugram, Haryana, India · Hybrid

Set up and maintained data warehouse, BI Tools and ELT Pipelines to reduce engineering dependency by 50%, and enable product & business teams to be more hands-on with data.
Strategized execution of a patent-pending computer vision product for the assessment & prediction of health parameters for cattle, currently driving revenue of the B2B Monetization vertical.
Optimized costs for Animall's cloud infrastructure by 50% over a period of 2 months, by tuning scaling parameters, moving all workers to spot instances and partnering with cloud resellers.
Increased stability and resiliency of the Animall app by implementing scaling policies, CD pipelines, monitoring and alerting for the Animall app on AWS.
Chosen to be the Primary POC to own and execute security and data audits.
Expanded the Data Science Team by owning and successfully executing the end-to-end hiring funnel for the Data Scientist role.

PySparkDatabricks ProductsData EngineeringCloud Infrastructure

Data Engineer

Oct 2021 – Sep 2023 · 1 yr 11 mos · Gurugram, Haryana, India · Hybrid

Atlan

2 roles

Data Engineer

May 2020 – Oct 2021 · 1 yr 5 mos · New Delhi, Delhi, India

Maintaining and enhancing data pipelines to move terabytes of data at an astonishing rate. Helping humans of data to enhance their work and establish ease of the process.
End-to-end maintenance of data orchestration and OLAP/OLTP engine behind Atlan’s product offering. Built using Airflow and Presto (trino).
Built a load-aware scaling interface for resource intensive Python workloads using AWS EKS, providing an additional feature for Atlan customers to run data science use cases under existing ETL pipelining architecture cost effectively.
Conceptualised and executed a zero to one CLI based failsafe internal tooling which helped avoid cascading failures and restore business as usual in case of failures. Built using click.

Data Engineering Intern

Jul 2019 – May 2020 · 10 mos · New Delhi, Delhi, India

Atlan is a data democratization company that helps data teams collaborate frictionlessly on data projects. We are creating a home for data teams—allowing them to truly democratize both internal and external data, while automating repetitive tasks.

Redcarpetup.com

Full Stack Engineer

Apr 2019 – Jun 2019 · 2 mos · New Delhi, India

Helped the organization with setting up anomaly reporting pipelines.
The reports generated are used by business stakeholders

Girlscript summer of code

Participant

Mar 2019 – May 2019 · 2 mos

Worked under a couple of projects.
1. Travel Mate- An open source android application which helps making up a travel guide. My contribution was to add APIs in backend, which helps users to know ways to reach a particular location.
2. B.E.N.J.I - A python based desktop application which works as a personal assistant. My contribution was to write documentation for Linux users, including all functionalities and there usage. Also optimizing certain code to improve performance.