
Devashish Ranjan
@devashishranjan
I build scalable SAP data platforms, ETL pipelines, and analytics solutions using Python, SQL, Spark, and Databricks.
What I'm looking for
At SAP, I build hybrid data platforms with SAP Datasphere, SAP Databricks, and SAP HANA Cloud. I develop scalable ETL/ELT pipelines using SQL, Python, PySpark, and Spark SQL for high-volume structured and semi-structured data.
Previously, I built data pipelines and Tableau reporting at IQVIA and automated reporting workflows at Accenture. I also develop cloud-native SAP applications, integrate AI capabilities, and improve data reliability through CI/CD, monitoring, and performance tuning.
Experience
Work history, roles, and key accomplishments
Architected hybrid data platforms using SAP Datasphere and SAP Databricks, developed scalable ETL/ELT pipelines, and optimized Delta Lake architectures. Engineered SAP HANA Cloud artifacts and implemented CI/CD and monitoring frameworks.
Developed a cloud-native application using SAP CAP and SAPUI5, deployed on SAP BTP, and integrated SAP AI Core for machine learning capabilities.
Automated data processing and reporting workflows using Python and shell scripting, developed interactive Tableau dashboards, and contributed to Agile delivery processes using Jira.
Education
Degrees, certifications, and relevant coursework
University College Dublin
Master of Science, Computer Science
2023 - 2024
Master of Science in Computer Science from University College Dublin, with coursework in data structures, algorithms, artificial intelligence, machine learning, cloud computing, and more.
SAP
SAP Certified Associate, Generative AI
SAP Certified Associate - SAP Generative AI Developer.
SAP
SAP Certified Associate, Business Data Cloud
SAP Certified Associate - SAP Business Data Cloud.
Oracle University
Oracle Certification, SQL
Oracle certification in SQL.
Python Institute
PCEP, Python Programming
PCEP - Certified Entry-Level Python Programmer.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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