About me (Registered since 28/05/2025)

  • Accomplished Data Engineering & Analytics Manager with over 15 years of experience in designing scalable data architecture and implementing robust data pipelines for enterprise analytics.
  • Expert in the big data technologies, and building robust ETL pipelines using Python and Spark.
  • Proven track record in developing data marts, reports, and driving performance optimization, scalability, and cost-efficiency across environments.
  • Adept at data quality controls, monitoring systems, and user education, with advanced skills in Tableau, Git, and ETL schedulers.
  • Aligns with senior management reporting and data governance, ensuring backend data robustness and infrastructure efficiency through best practices in query tuning and documentation.
  • Proven track record in managing cross-functional teams, vendor management, and delivering high-quality analytics solutions that create business impact.

Portfolio

Education

Key Skills and Competencies

Data Science & Machine Learning: Scikit-learn, PyTorch, Statsmodels, NumPy, Pandas, Matplotlib, Seaborn, Keras, TensorFlow Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face Transformers, OpenAI GPT models, CNNs, RNNs, LSTMs Natural Language Processing (NLP): SpaCy, NLTK, Hugging Face Transformers, BERT, GPT, TextBlob, Sentiment Analysis, Named Entity Recognition (NER), Language Modeling, Text Classification, and Summarization. Cloud Platforms: Google Cloud, AWS Datawarehouse: BigQuery, AWS Redshift, Snowflake ETL/ELT Tools: Informatica, Informatica IICS Programming Languages: Python, Oracle SQL/PLSQL, Unix Shell Scripting, Exasol (LUA Scripts) Databases: NoSQL (Cassandra, MongoDB), Exasol, Oracle, PostgreSQL, MySQL Data Visualization & Reporting: Tableau, Power BI, OBIEE Version Control & CI/CD: GitHub, Jenkins Orchestration Tools: Apache Airflow, Control-M Agile Methodology: JIRA

Work Experience

  • June 2021 - Present
    Link Reit (formerly known as Mercatus), Singapore

    Data Engineering & Analytics Manager

    • Spearheaded the architecture of scalable data systems and unified data strategy, optimizing cross-functional data flows and enhancing Infrastructure efficiency.
    • Orchestrated the design and migration of legacy Oracle Datawarehouse to AWS-Redshift Datalake, boosting scalability and cost-efficiency by 30%.
    • Engineered optimal ETL pipelines using Python and Spark, slashing data processing time by 40%.
    • Implemented data marts and developed reports with Tableau and Power BI, amplifying actionable insights for business leaders.
    • Instituted data quality controls, monitoring systems, and performance optimization best practices.
    • Directed user education, crafted training assets, and provided policy guidance for tool administration, Git, and ETL schedulers.
    • Proven track record in managing cross-functional teams,

  • October 2015 - May 2021
    Equinix, Singapore

    Senior BI Developer/Senior Data Engineer

    • Led Product Marketing Functional area development initiatives as Subject Matter Expert while leading team of 4; spread across different countries.
    • Engineered big data technologies and ETL pipelines using Python, Spark, and Informatica, improving data latency by 25%.
    • Migrated Oracle Datawarehouse to GCP-BigQuery, optimizing data models and query analysis for cost-efficiency.
    • Developed and deployed Tableau dashboards for senior management reporting, increasing data-driven decisions by 35%.
    • Led script review and implemented monitoring systems for data quality controls and performance optimization.
    • Administered Git, ETL schedulers, and provided user education on best practices and policy guidance Enhanced scalability and Infrastructure efficiency across environments.
    • Achieved high results like Cost Saving (approx. US$3000 PM) and performance for delivering Service Now Data extraction project.

Languages

English
Professional

Certifications & Licences

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