Abhisek Sahu

Software Engineer

Amsterdam, North Holland, Netherlands8 yrs 4 mos experience

Highly Stable

Key Highlights

8 years of experience in data engineering and cloud technologies.
Expert in Azure Data Factory and Azure Databricks.
Recognized as a LinkedIn Top Data Engineering Voice.

Stackforce AI infers this person is a Data Engineering expert in cloud technologies with a focus on Azure solutions.

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Skills

Core Skills

Azure Data EngineeringData Engineering

Other Skills

Azure DevOpsPySparkAzure Data FactoryAzure SynapseClouderaSQLADLS Gen 2Azure DevOps ServicesAzure DatabricksMicrosoft Power BISQL Server Management StudioHiveQLGood Clinical Practice (GCP)Data LoadingBig Data

About

I work as an Azure Data Engineer with additional responsibilities as a DevOps Engineer. I specialize in designing and implementing end-to-end pipelines within the Azure Stack in the Netherlands With around 8 years of experience in data engineering, big data, and cloud technologies, I have a proven track record of delivering high-performance, high-quality projects. My expertise includes working with Azure DevOps, Azure Data Factory, ADLS, Synapse, and Power BI, as well as previous experience with Hadoop, Cloudera, Spark, Python, GCP, AWS, Apache Airflow, Kubernetes, and Docker. Holding a B.Tech. degree in Electrical and Electronics Engineering from GIET (2016), I am passionate about solving complex data problems, learning new technologies, and driving analytics for deeper insights. Recognized as a LinkedIn Top Data Engineering Voice, I continuously strive to stay at the forefront of the field.

Experience

Rabobank

Senior Azure Data Engineer

Apr 2024 – Present · 1 yr 11 mos · Utrecht, Netherlands · Hybrid

Varrlyn

Senior Azure Data Engineer ↔ Devops Engineer

Apr 2024 – Apr 2025 · 1 yr · Amsterdam, North Holland, Netherlands · On-site

Working as a Azure Devops Engineer With Varrlyn.

Azure DevOpsAzure Data Engineering

Ibm

Senior Data Engineer

Jul 2022 – Apr 2024 · 1 yr 9 mos · Greater Hyderabad Area · Hybrid

I developed an end-to-end data pipeline in the Azure stack, gathering data from multiple sources into ADLS Gen 2, transforming it using Azure Databricks (PySpark and Spark SQL), and storing it in Azure Synapse for Power BI reporting; utilized Azure Data Factory for scheduling, Azure Logic Apps for notifications, and Azure DevOps for deploying pipelines across UAT, QA, and PROD environments.

PySparkAzure Data Engineering

Tata consultancy services

2 roles

Data Engineer

Promoted

Oct 2018 – Jul 2022 · 3 yrs 9 mos · On-site

I worked with one of the largest telecom companies in the UK, where I fetched data from source hubs to reporting, gained extensive experience in both streaming with Kafka-Spark and batch processing with Spark-Hive, used Oozie for job scheduling, and utilized AWS and GCP for cloud services, resulting in a valuable learning experience.

ClouderaData Engineering

Junior Data Engineer

Nov 2016 – Sep 2018 · 1 yr 10 mos · On-site

As a Junior data Engineer for an insurance client, I built reports using SQL, managed Control-M jobs focusing on data extraction, query optimization, data analysis in Oracle, job scheduling, and troubleshooting, while also engaging in cross-functional teamwork, stakeholder engagement, and providing training and support.

Data EngineeringSQL