Shahid B.
Enterprise Data Architect
Experience
Enterprise Data Architect
Confidential
- Designed, developed, and optimized complex data pipelines for batch and streaming workloads, integrating structured and unstructured data from hybrid/multi-cloud sources
- Architected ETL/ELT jobs using IBM DataStage/Next Gen, automating ingestion, transformation, and delivery for data warehousing, data lake, and AI/analytics use cases
- Modernized legacy ETL systems to containerized, cloud-native architectures driving scalability and operational resilience using IBM DataStage, Data Fusion, Snowflake, BigQuery, Synapse, Databricks, Azure Data Factory, AWS Glue
- Installed and validated IBM BigIntegrate with Cloudera CDP, enabling distributed, high-throughput data processing on Hadoop ecosystems
- Orchestrated job scheduling, failover, and job recovery (HA) using Pacemaker and DataStage agents across multi-node clusters
- Implemented end-to-end data governance using IBM Watson Knowledge Catalog covering metadata management, automated data lineage, data cataloging, and policy-based access controls
- Defined and enforced data quality rules, curated business glossaries, and embedded stewardship processes to ensure reliable and compliant data assets
- Delivered secure data workflows, mapping role-based access using IAM for dynamic, governed data sharing
- Engineered data flows using Spark, DataStage, Data Fusion, and cloud-native ETL tools; enabled CDC patterns for near real-time analytics and BI
- Integrated data sources with AWS S3, Azure Blob, and GCP Storage and served analytics via Snowflake, BigQuery, and Synapse
- Built end-to-end ML data pipelines powering Watsonx, BigQuery ML, Vertex AI, and generative AI solutions
- Designed data platforms to support feature store integration, model monitoring, audit lineage, and continuous data quality for MLOps acceleration
- Led product demos, workshops, and POCs showcasing IBM Data & AI technologies; developed custom proposals, migration roadmaps, and knowledge transfer sessions for enterprise clients
- Advised on best practices for data engineering, platform modernization, and cloud data migration
Senior Technical Architect (DNA CoE)
HCL Technologies
- Implemented Snowflake data warehousing solutions
- Designed and deployed Microsoft Azure architectures
- Conducted DataStage Migration from 11.7x to modern platforms
- Deployed IBM Cloud Pak for Data and implemented data governance using Watson Knowledge Catalog
- Architected modern data warehouses and analytics on GCP
- Integrated cloud data platforms and analytics frameworks
Senior Architect DataStage SME
NFolks India Pvt Ltd
Associate IT Architect DataStage
IBM Client Innovation Centre, Malaysia
IT Architect DataStage
IBM India Pvt Ltd
Team Lead
Tech Mahindra Pvt Ltd
Team Lead
Target Corporation (Technosoft Global Services)
Senior Software Engineer
HSBC Global Technology Pvt Ltd
Consultant
Capgemini Consulting India Pvt Ltd
Summary
Results-driven Enterprise Data Architect with 13+ years' experience in architecting and deploying scalable, cloud-native data integration, data governance, and analytics platforms. Proven expertise in designing and optimizing large-scale data architectures that enable effective analytics and reporting—specializing in ETL/ELT pipelines, data modeling, and metadata management across hybrid and multi-cloud environments. Experienced in driving alignment between data engineering, business analytics, and business stakeholders to deliver enterprise-grade data solutions. Deep technical knowledge in Google Cloud Platform (GCP), BigQuery, and modern ELT architectures, complemented by strong strategic and collaborative communication skills. Exposure to procurement and supply chain analytics environments is leveraged to enhance data models and reporting capabilities.
Languages
Education
VTU University, Belgaum
BE · Electronics and Communication · Belagavi, India
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