Abhijeet Kumar
Data Engineer
New Delhi,DL
Summary
As a Certified Azure Data Engineer with 2.5 years of hands-on experience, I specialize in turning complex data — whether it’s raw, structured, semi-structured, or unstructured — into actionable business insights. I build scalable, high-performance data solutions that power analytics, dashboards, and machine learning, making data not just available but truly impactful.
I thrive in environments where data flows in all shapes and formats — from batch files to real-time streaming events and APIs. Using tools like Azure Data Factory, Databricks, Synapse, and Azure Functions, I automate and streamline data pipelines with Python, PySpark, and SQL, making complex processes smooth and efficient.
One of my proudest achievements is designing multi-layered Data Lake architectures (from Landed to Curated) that improved query performance by 70% and simplified data governance. I’m also experienced with tools like Kafka, Delta Lake and Snowflake, as well as API testing with Postman and creating event-driven workflows.
Certified in Azure Data Engineering, Data Science, and Generative AI, I’m all about building future-ready data platforms using CI/CD, DevOps, and cloud-native best practices. I’m passionate about creating reliable, scalable solutions that align with business goals and make data work harder for organizations.
Overview
2
2
years of professional experience
Work History
Software Engineer (L1)
L&G Consultancy
03.2023 - Current
- Developed and implemented Azure data solutions, increasing data processing efficiency by 25% and enabling high-performance analytics platforms.
- Automated end-to-end data pipelines with Azure Data Factory and Databricks, reducing processing time by 60% and improving integration by 40%.
- Designed and built multi-layered data lake architectures (Landed, Raw, Base, Enriched, Curated, Hydration), improving query performance by 70% through partitioning and indexing.
- Integrated Databricks with Microsoft Fabric, SMS portals, and APIs, enabling real-time analytics, dynamic lookups, and event-triggered automation for data-driven decision-making.
- Optimized Azure SQL databases, reducing query response times by 30% and cutting storage costs by 30%, while improving query speed by 50%.
- Built event-driven data pipelines using Azure Event Hubs, Azure Functions, and Azure Stream Analytics, reducing latency by 40% and enabling real-time streaming.
- Utilized modern ETL and streaming tools such as Apache Kafka, dbt, Delta Lake, Apache Airflow, Fivetran, and Snowflake to build scalable, cloud-native data pipelines.
- Automated database archiving and telemetry integration (Azure Application Insights), converting raw data into optimized models using PySpark, Python, and SQL.
- Delivered high-performance, future-proof data platforms aligned with business goals through CI/CD pipelines and DevOps practices.
Education
Bachelor of Technology - Computer Science
Punjab Technical University
Jalandhar, India06-2023
Skills
- Azure Stack: Data Factory, Databricks, Synapse, Event Hubs, Functions, Data Lake, Stream Analytics, Microsoft Fabric
- Modern Data Tools: Apache Kafka, Delta Lake, dbt, Airflow, Fivetran, Hevo, Snowflake
- Programming: Python, PySpark, SQL, REST APIs
- API & Integration: Postman, API Testing, Webhooks, RESTful APIs, Azure API Management
- Data Types: Structured, Semi-structured (JSON, XML), Unstructured (text, images), Raw logs
- AI & Machine Learning: Azure ML, IBM Data Science, Oracle Generative AI, Predictive Analytics
- DevOps & Automation: Azure DevOps, CI/CD, Git, Event-Driven Pipelines
- Performance: Partitioning, Indexing, Parallel Processing, Query Optimization
- Architecture: Data Lakehouse (Landed → Curated), Governance, Lineage Tracking
- Monitoring: Azure Application Insights, Telemetry Pipelines
Certification
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Data Scientist Associate
- IBM Data Science Professional Certificate
- Oracle Cloud Infrastructure 2024 Generative AI Professional
- Azure Certification - L&G Consultancy
Languages
English
Bilingual or Proficient (C2)
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Software Engineer (L1)
L&G Consultancy
03.2023 - Current
Bachelor of Technology - Computer Science
Punjab Technical University
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