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I’m Bajal Mohamed, a Principal Data, Analytics & AI Architect with 20+ years of experience modernizing data platforms and delivering applied AI across manufacturing, operational telemetry, trading, supply chain, and financial/enterprise environments. I design and govern end-to-end architectures spanning Microsoft Fabric, Azure AI Foundry, Databricks, Snowflake, Spark, and cloud services—balancing security, resilience, performance, and cost while improving data quality and governance outcomes. I also lead technical teams globally, partnering with CIOs, CDOs, and business stakeholders to translate requirements into target-state architectures, delivery roadmaps, and operational support practices. From discovery and estimation to production transition, I focus on reusable engineering patterns, strong release/CI/CD and testing controls, and responsible AI/analytics delivery—from proof of concept to measurable production impact.…I’m Bajal Mohamed, a Principal Data, Analytics & AI Architect with 20+ years of experience modernizing data platforms and delivering applied AI across manufacturing, operational telemetry, trading, supply chain, and financial/enterprise environments. I design and govern end-to-end architectures spanning Microsoft Fabric, Azure AI Foundry, Databricks, Snowflake, Spark, and cloud services—balancing security, resilience, performance, and cost while improving data quality and governance outcomes. I also lead technical teams globally, partnering with CIOs, CDOs, and business stakeholders to translate requirements into target-state architectures, delivery roadmaps, and operational support practices. From discovery and estimation to production transition, I focus on reusable engineering patterns, strong release/CI/CD and testing controls, and responsible AI/analytics delivery—from proof of concept to measurable production impact.

Bajal Mohamed

Architect, Data Engineer, AI Developer, +2

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I’m Bajal Mohamed, a Principal Data, Analytics & AI Architect with 20+ years of experience modernizing data platforms and delivering applied AI across manufacturing, operational telemetry, trading, supply chain, and financial/enterprise environments. I design and govern end-to-end architectures spanning Microsoft Fabric, Azure AI Foundry, Databricks, Snowflake, Spark, and cloud services—balancing security, resilience, performance, and cost while improving data quality and governance outcomes. I also lead technical teams globally, partnering with CIOs, CDOs, and business stakeholders to translate requirements into target-state architectures, delivery roadmaps, and operational support practices. From discovery and estimation to production transition, I focus on reusable engineering patterns, strong release/CI/CD and testing controls, and responsible AI/analytics delivery—from proof of concept to measurable production impact.…I’m Bajal Mohamed, a Principal Data, Analytics & AI Architect with 20+ years of experience modernizing data platforms and delivering applied AI across manufacturing, operational telemetry, trading, supply chain, and financial/enterprise environments. I design and govern end-to-end architectures spanning Microsoft Fabric, Azure AI Foundry, Databricks, Snowflake, Spark, and cloud services—balancing security, resilience, performance, and cost while improving data quality and governance outcomes. I also lead technical teams globally, partnering with CIOs, CDOs, and business stakeholders to translate requirements into target-state architectures, delivery roadmaps, and operational support practices. From discovery and estimation to production transition, I focus on reusable engineering patterns, strong release/CI/CD and testing controls, and responsible AI/analytics delivery—from proof of concept to measurable production impact.

Available to hire

I’m Bajal Mohamed, a Principal Data, Analytics & AI Architect with 20+ years of experience modernizing data platforms and delivering applied AI across manufacturing, operational telemetry, trading, supply chain, and financial/enterprise environments. I design and govern end-to-end architectures spanning Microsoft Fabric, Azure AI Foundry, Databricks, Snowflake, Spark, and cloud services—balancing security, resilience, performance, and cost while improving data quality and governance outcomes.

I also lead technical teams globally, partnering with CIOs, CDOs, and business stakeholders to translate requirements into target-state architectures, delivery roadmaps, and operational support practices. From discovery and estimation to production transition, I focus on reusable engineering patterns, strong release/CI/CD and testing controls, and responsible AI/analytics delivery—from proof of concept to measurable production impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Intermediate

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Intermediate

Work Experience

Principal Data Analytics & AI Architect (Senior Manager) at Filtrona

March 1, 2024 - Present

Lead data, analytics, and AI architecture across engineering, manufacturing, operational technology/telemetry, supply chain, and corporate functions. Direct a team of 8+ data architects and engineers, setting technical direction, reviewing designs, mentoring, and maintaining delivery standards. Define target architecture and roadmaps across Microsoft Fabric, Azure AI Foundry, Databricks, Snowflake, analytics, governance, and MDM/RDM. Govern hybrid and cloud designs across ingestion, batch/streaming, transformation, analytical publishing, and production support. Drive AI/analytics initiatives from PoC to production with reference architectures, reusable engineering patterns, CI/CD, testing, monitoring, and operational controls.

Global Head of Data Architecture & Analytics at COFCO

December 1, 2015 - November 30, 2023

Owned global data architecture, engineering, analytics, governance, and platform operations across trading, agriculture/commodities, logistics, supply chain, finance, and corporate functions. Managed a global team of 10 data architects, engineers, analysts, and BI developers for technical direction, delivery quality, capability development, and production support. Led architecture across source integration, distributed processing, ETL/ELT, data warehousing, enterprise BI, governance, security, HA/DR, and operations. Directed a $5M data modernization program replacing legacy warehouses and fragmented reporting with Databricks, Snowflake, and Azure services, reducing operating costs by 35%. Established architecture review, CI/CD, testing, security, release, and production-readiness controls in partnership with Information Security.

Head of Data Platforms (Database, DWH & BI) at Estee Lauder

December 1, 2011 - December 31, 2015

Led database, DWH, and BI platform services including team direction, architecture and engineering standards, availability, performance, security, lifecycle planning, platform investment, and operations. Ensured delivery and operational practices that improved reliability and performance across production analytics and reporting environments.

AVP - Database Services at Barclays Capital

December 1, 2007 - December 31, 2011

Managed database services for banking and capital-markets systems, focusing on production stability, capacity and performance, security, recovery, change control, operational risk, and design reviews. Provided technical guidance and ensured approved changes through structured operational controls.

Lead - Database & DWH team at Creative Technology

September 1, 2006 - December 31, 2007

Led database and data warehouse delivery, including work allocation, design review, ETL, performance improvement, production support, and coordination with application and business teams.

Database & DWH Specialist at Levi’s

March 1, 2005 - August 31, 2006

Supported retail and corporate data services by handling database design, data loading, analytical structures, reporting datasets, performance tuning, availability, security, and day-to-day operations.

Database Administrator (DBA) at NCS

April 1, 2004 - February 28, 2005

Administered enterprise databases in a managed-services environment, covering monitoring, backup and recovery, performance management, access control, incident handling, documentation, and approved change implementation.