Career Description

Engineering leader with 17+ years designing large-scale data platforms and end-to-end data / ML systems across energy, fintech, aviation, and telecom industry. Proven track record of shaping data and AI technology strategy, defining architectural north stars, and building self-service, cloud-native platforms (AWS, Azure, GCP) that let engineering teams deliver with autonomy and velocity. Currently leading enterprise data platform & AI at bp, with growing focus on GenAI and Agentic enabled solutions, backed by deep hands-on expertise in data engineering and governance, establishing target architecture with proper business alignment.

Professional Summary

  • Certified Data & AI  Expert: 1. AWS Certified Data Engineer, 2. Azure certified Data Engineer Associate,  3. Tableau Certified Consultant, 4. Data Management Professional(DAMA) 5. Google data engineering specialty and 5.Red Hat Certified Engineer (RHCE) 6.Claude Agentic Framework
  • Masters in Data Science from University of Malaya
  • Engineering Leadership: Directed 18+ data engineering, software and platform engineering projects, driving innovation and large-scale transformation.
  • Cloud Architecture Proficiency: Specialized in scalable solutions across AWS, Azure, GCP
  • Global Exposure: Successfully led teams and delivered solutions in 6 countries, collaborating with diverse, cross-functional teams.
  • Agile & Analytical Excellence: Master’s in Data Science with a strong foundation in agile leadership, critical problem-solving, and team scalability.
  • End-to-End Technical Execution: Deep expertise across data platforms, data engineering, BI tools, MLOps , and secure infrastructure

Work experience

bp (British Petroleum)
Jan 2026continuing

Staff Engineering Manager (Data & AI)

  • Leading a team of 27 professionals from different region of the world, including data engineers, analytics engineers, FDE, SRE/DevOps, and ML specialists, delivering data platforms and HPC capabilities across all domains and businesses.
  • Defined the architectural north star and multi-year technology roadmap for bp’s enterprise Data & AI platforms, partnering with product, engineering, and business leaders to translate data strategy into executable delivery plans.
  • Led enterprise platform engineering for bp’s core data engineering platforms across a multi-cloud AWS/Azure landscape, optimizing performance, scalability, availability, and cost-efficiency.
  • Owned end-to-end security, governance, and compliance architecture, including automated monitoring and vulnerability management, while meeting global regulatory and industry SOX standards.
  • Spearheaded the modernization of mission-critical reporting and data platforms, integrating AI workflows to enhance platform capability and business value.
  • Ensured operational resilience through disaster recovery and high-availability architecture, while advising senior leadership on technology investments, emerging AI adoption, and associated risks.
PETRONAS
Nov 2024Jan 2026

Head of Data Platform Development

  • Led a team of data engineers to deploy data pipelines, reducing manual data preparation time by 60% and improving pre-trade and post-trade decision-making efficiency in PETRONAS arbitrage trading.
  • Architected an enterprise-grade unified trading data platform serving PETRONAS' OVC and LNG trading desks, defining the target architecture and integration patterns to improve system reliability by 100%.
  • Defined and executed a data strategy aligned with enterprise-wide AI initiatives, partnering with the Digital COE and BCG Transformation team.
  • Managed end-to-end data infrastructure modernization projects valued at $8M+, reducing pipeline latency by 50% and ensuring on-time data delivery across business units.
  • Partnered with C-level stakeholders to design automated data solutions, accelerating data intelligence delivery cycles and strengthening decision support systems.
  • Optimized platform architecture using Spark in Databricks and reduced microservice dependencies through delta share and pub-sub mechanisms, cutting cloud costs and enhancing processing throughput.
Beyond Limits Pte Ltd
Sep 2022Nov 2024

Principal Data Engineer

  • Built a real-time analytics platform processing 50 GB/day for 5,000+ users, delivering 40% cost savings and enabling 30% faster insights.
  • Architected end-to-end ML systems for refinery and blending operations, including offline feature engineering pipelines in Databricks and real-time model serving via Kafka/Kinesis streaming.
  • Bridged batch and real-time inference at production scale by designing integrated data and ML workflows across offline and streaming environments.
  • Migrated a legacy BI and data platform for Singapore’s Government Commercial Cloud (GCC), enabling secure, scalable operations and faster delivery.
  • Directed cross-functional teams to integrate cutting-edge tools for self-service advanced analytics and NLP-based analytics, streamlining data exploration and visualization.
  • Led code reviews and contributed to a modular backend architecture, improving maintainability and reducing deployment errors by 20%.
Instapay Technologies Sdn. Bhd
Aug 2020Aug 2022

Head, Retail Sales Analytics

  • Drove BI/ML platform development in fintech, enabling personalized marketing and increasing conversion rates by 18%.
  • Built a real-time customer lead pipeline, reducing acquisition lag from 16 hours to under 1 hour.
  • Built and scaled a 10-member data engineering team, instituting agile delivery practices and talent mentorship programs that improved team velocity by 30%.
  • Mentored junior analysts and engineers, fostering a culture of continuous development and promoting internal mobility.
  • Created marketing intelligence dashboards using Looker and BigQuery, supporting multi-regional campaign decisions with real-time feedback.
  • Implemented a customer profiling data lake in BigQuery, enhancing user segmentation and sales targeting precision by 30%.
  • Championed the implementation of container-based environments using Kubernetes, integrated with CI/CD pipelines in Azure DevOps to automate deployment and minimize operational overhead.
SSD-Tech – Malaysia
Dec 2014 July 2020

Manager, Data and Analytics

  • Designed and maintained scalable data pipelines for ingesting, transforming, and delivering large datasets from transactional database, and external APIs, improving ETL reliability and reducing failure rates by 35%.
  • Developed custom BI dashboards integrating multiple data sources to support business-critical decisions across product, finance, and marketing.
  • Standardized data architecture practices, reducing system complexity and improving data model scalability across teams.
  • Mentored junior engineers and analysts, conducting code reviews and architectural sessions to uplift team capability and delivery quality
  • Built observability pipelines using ELK Logging and Monitoring to support real-time system health tracking and incident resolution.
Banglalink (a veon's company)
Oct 2011 Nov 2014

Product and Service Engineer

  • Engineered and delivered software components for telecom products used by 23M+ customers, improving system responsiveness through optimized charging backend design.
  • Developed and maintained scalable REST and SOAP APIs, achieving a 25% reduction in integration defects and standardizing interfaces across internal platforms.
  • Collaborated with data teams to integrate real-time customer usage data into product features, enabling data-driven service personalization and enhancing ARPU tracking accuracy.
  • Partnered with software, BI, and infrastructure teams to optimize query performance and integrate DWH into core analytics workflows, improving reporting speed.
  • Standardized API integrations across internal platforms to strengthen interoperability, improve maintainability, and support more reliable product delivery.
  • Enhanced backend and analytics performance by contributing to cross-functional system improvements across product, data, and infrastructure environments.
Banglalink - Dhaka, Bangladesh
Dec 2009Sept 2011

Data Warehouse Rollout Engineer

  • Led the rollout of Banglalink’s enterprise data warehouse, delivering the project 3 weeks ahead of schedule and ensuring 100% alignment with business requirements across finance, operations, and marketing teams.
  • Designed and implemented data migration pipelines from legacy systems to the new DWH environment using SQL-based ETL scripts, achieving a 98% data consistency rate across critical tables.
  • Executed system-wide testing and QA procedures, identifying and resolving over 120+ data quality issues during pre-launch to ensure the long-term reliability of business-critical reports.
  • Established baseline data governance frameworks and monitoring protocols, improving regulatory compliance tracking and reducing data discrepancies by 40%.
  • Collaborated with cross-functional stakeholders to align warehouse rollout activities with operational, financial, and marketing reporting needs, supporting enterprise-wide adoption.
  • Delivered a reliable data warehouse foundation by combining migration, validation, and governance practices to strengthen reporting accuracy and ongoing system performance.

Education

University of Malaya
20192022

Master of Data Science

North South University
20052009

Bachelor of Science, Electronics & Communication

Certifications

Skills

Programming Languages

Python,  SQL

Database/Warehouse/Lakehouse

Databricks, Snowflakes, Oracle, PgSQL, AWS Redshift, Google BiqQuery, 

ETL

AWS Glue, Databricks Workflow, dbt

Big Data and Data Streaming

PySpark,Confluent, Apache Kafka, Aws kinesis,  Databricks,

DevOps & Orchestration

Apache Airflow, Azure DevOps, Kubernetes

BI and Data Visualisation

Tableau, Power BI

CI/CD or VCS

Git,  Azure DevOps

Gen AI / ML

LLM applications, RAG, vector databases, agentic frameworks, SageMaker, MLflow, Databricks AutoML, TensorFlow

Core Competencies

  • Technical team leadership
  • C-level stakeholder engagement
  • cross-functional collaboration
  • risk identification & mitigation strategies