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sanjeev kumarSK
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sanjeev kumar

@sanjeevkumar10

I build cloud-native data pipelines and real-time platforms for global logistics.

India
Message

What I'm looking for

I'm looking for data engineering work where I can build reliable cloud-native and real-time data platforms, partner closely with business stakeholders, improve delivery through CI/CD, and mentor engineers.

At A.P. Moller – Maersk, I build cloud-native data pipelines and real-time services for a global logistics and air-freight business. I work daily with Azure Data Factory, Databricks, Unity Catalog, Delta Lake, PySpark, Spark SQL, and Kafka.

I migrated 150+ Alteryx workflows to Databricks notebooks and built a containerized Kafka consumer on Azure Container Apps that processes approximately 100K records per day into Parquet on ADLS Gen2. I also designed a Tariff Audit solution that opened up $1M+ in new monthly revenue scalability.

I build reliable delivery and operational tooling, including CI/CD promotion and rollback logic, production sanity checks across 40+ pipelines, and PostgreSQL bulk-load pipelines that resolved driver OOM crashes and duplicate shipment records. I use AI-assisted tools such as Copilot and Claude to accelerate pipeline development.

Earlier at MAQ Software, I built multi-source Azure Data Factory pipelines, automated Databricks notebook deployments, and created a BVT framework with Azure Logic Apps alerts. I enjoy working close to the business, explaining architecture decisions to stakeholders, mentoring junior engineers, and presenting delivery outcomes to enterprise customers.

Experience

Work history, roles, and key accomplishments

MAQ Software logoMS

Software Engineer I

MAQ Software

Mar 2018 - Sep 2021 (3 years 6 months)

Built multi-source data pipelines in Azure Data Factory, cutting pipeline processing time by an estimated 15-20% and reducing downstream data errors. Automated Databricks notebook deployment across environments and built a Build Verification Test framework with automated email alerts.

Education

Degrees, certifications, and relevant coursework

LS

Lakshmi Narain College of Technology & Science

Bachelor of Engineering, Computer Science

2013 - 2017

Grade: 6.1 CGPA

Bachelor of Engineering in Computer Science from Lakshmi Narain College of Technology & Science, with a CGPA of 6.1.

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