Skip to main content
Abhimanyu GabhraniAG
Looking for a job

Abhimanyu Gabhrani

@abhimanyugabhrani

I migrate large-scale legacy data pipelines to Azure Databricks.

India
Message

At Celebal Technologies, I migrate large-scale legacy data platforms to Azure Databricks for clients including NXP Semiconductors. I led the conversion of 510+ BTEQ, TPT, and Shell scripts into PySpark notebooks for supply chain planning, reducing team effort by approximately 35–40%.

I design reliable migration and orchestration patterns, including dual Oracle JDA and Databricks control tables for zero-downtime cutovers. I also built ADLS reconciliation frameworks and reusable PySpark utilities that cut per-script maintenance effort by approximately 50%.

I work across PySpark, Databricks, Azure Data Factory, ADLS Gen2, and Azure Logic Apps, with experience modernizing Teradata, Oracle, Talend, and MS SQL Server workloads. I’ve also created an 18-pattern BTEQ-to-PySpark playbook and a 17-point review checklist to accelerate AI-assisted delivery.

Experience

Work history, roles, and key accomplishments

CT
Current

Data Engineer

Celebal Technologies

Aug 2024 - Present (2 years 1 month)

Led end-to-end migration of 510+ BTEQ/TPT/Shell scripts to PySpark notebooks for a global semiconductor client's Supply Chain Planning domain on Databricks, achieving 85-90% AI-assisted conversion accuracy and reducing team effort by ~35-40%. Designed dual control table architecture enabling parallel-run orchestration during Teradata-to-Databricks cutover, ensuring zero-downtime JDA load schedulin

CT

Data Engineer - Intern

Celebal Technologies

Apr 2024 - Jul 2024 (3 months)

Developed PySpark notebooks implementing complex business logic and data transformations; created unit tests and validation frameworks to catch quality issues before production loads. Converted legacy MS SQL Server stored procedures and views into Databricks notebooks across DEV, UAT, and PROD Azure environments.

Education

Degrees, certifications, and relevant coursework

JC

Jaipur Engineering College and Research Center

B.Tech, Computer Science

Grade: 9.32/10.00

Pursued a B.Tech in Computer Science with a CGPA of 9.32/10.00, including coursework in Data Structures and Algorithms, Object Oriented Programming, Computer Networks, and Operating Systems.

Get matched with your dream remote job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan