
Ashish Vyas
@ashishvyas1
I lead Databricks and Azure data modernization programs that scale from pilots to enterprise platforms.
What I'm looking for
At GlobalLogic, I lead enterprise Databricks modernization and cloud-native data engineering programs across global teams. I architected AI-driven migration and reconciliation frameworks that validated 944+ tables with zero-defect migrations.
I also delivered a LangGraph and AWS Bedrock data publication platform with nine AI agents, reducing data product delivery from more than three months to four to six weeks. By owning delivery P&L and using automation, I scaled a pilot into a $1M+ managed program.
Across Schindler India, McDermott International, Mobiliya, Ericsson, and Amdocs, I’ve built Azure and AWS data pipelines, Lakehouse and warehouse solutions, governance capabilities, and batch and real-time processing platforms. I bring 13+ years of experience connecting architecture, delivery governance, pre-sales, and engineering leadership.
Experience
Work history, roles, and key accomplishments
Leading enterprise-scale data engineering programs focused on Databricks modernization and cloud-native platforms. Architected AI-driven data migration frameworks and a GenAI-powered data publication platform, reducing delivery timelines from 3+ months to 4-6 weeks.
Led architecture, data modeling, governance, and data quality initiatives while modernizing enterprise data pipelines across ADF, Synapse, and Azure Databricks. Drove technical strategy, pre-sales, stakeholder engagement, and engineering team leadership.
Contributed to the architecture and implementation of Azure-based data pipelines for legacy-to-Spark application migration using Azure Data Factory, Synapse Analytics, and ADLS. Built and maintained enterprise data warehouse solutions, implemented data governance with Azure Purview, and delivered Azure IoT/Event Hub PoCs.
Senior Big Data Engineer
Mobiliya (Quest Global)
Aug 2018 - Jan 2020 (1 year 5 months)
Developed Spark applications on Databricks and AWS (EMR) for large-scale data processing, analytics, and reporting. Built scalable data ingestion and transformation pipelines using Spark, AWS Glue, Lambda, and Airflow.
Designed and developed batch and real-time data pipelines using Spark, Kafka, Cassandra, Hive, and Sqoop. Implemented Spark-based batch and streaming data processing solutions with performance optimization and client collaboration.
Worked on migrating customer data from legacy systems to the Amdocs target platform built on HDFS, leveraging Cloudera Hadoop ecosystem, Hive, cluster management, and query optimization. Designed and developed Informatica workflows/sessions to extract, transform, and load data into Target.
Education
Degrees, certifications, and relevant coursework
GlobalLogic
GenAI Certification, GenAI
GenAI Certification from GlobalLogic.
Microsoft
Microsoft Certified: Azure Administrator Associate (AZ-104), Azure Administration
Microsoft Certified: Azure Administrator Associate (AZ-104).
Microsoft
Microsoft Certified: Azure AI Engineer Associate, Azure AI
Microsoft Certified: Azure AI Engineer Associate.
RGPV University
Bachelor of Engineering, Information Technology
2008 - 2012
Bachelor of Engineering in Information Technology from RGPV University, Bhopal, from 2008 to 2012.
Microsoft
Microsoft Certified: Azure Solutions Architect Expert (AZ-305), Azure Solutions Architecture
Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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