As a seasoned Business Intelligence and Data Engineering expert, I possess 12+ years of experience in tackling intricate business challenges concerning data warehousing, engineering, and reporting. My strong grasp of data engineering best practices empowers me to develop intuitive architectures that enable organizations to efficiently process and analyze large volumes of data. I work collaboratively with stakeholders to identify the most appropriate tools for each specific challenge and provide tailor-made solutions that deliver tangible outcomes.
My technical prowess comprises proficiency in reporting and visualization tools such as Tableau, Power BI, and MicroStrategy, and ETL tools including AWS (lambda, Glue, Databricks) and GCP (Dataproc), as well as experience working with various databases like SQL Server, Snowflake, Teradata, Athena, and MySQL. Besides programming languages such as R, HTML, CSS, VB, and Python, I also possess knowledge of metadata management tools such as Informatica EDC. I have extensive expertise in cloud systems such as Azure, AWS, and GCP, and operating/web systems such as NodeJS, Tomcat, Windows, and Linux.
Having served in diverse sectors, including Retail, Healthcare, HR, Banking, and Government, I have thorough knowledge of data science, data warehousing, data analysis, and predictive and machine learning concepts. I am also well-versed in confidentiality policies, information security, and large enterprise change and release management processes. Some of my notable achievements include successfully migrating an ETL system from traditional ODI Data Integration Platform to Informatica for a Singapore Government project, and developing an HR Analytics reporting solution with scorecard generation for top-level management, self-service capabilities for operational teams, and employee churn prediction abilities.
As a Data Engineering Lead, I provided leadership and direction for multiple projects focused on developing Data Pipelines using cloud technologies such as AWS (S3, Glue, Athena, Lambda) and Google Cloud Platform (DataProc, Google Storage, Composer). I closely collaborated with clients and stakeholders to gather requirements and design data engineering pipelines and reporting solutions. Moreover, I managed a team of reporting resources and data engineers, facilitating work delegation, development, sprint management, code review, and monitoring, and collaborated with Consulting teams, Business Analysts, and Data Stewards to incorporate additional requirements and features into the solutions.
In essence, I am a result-driven Business Intelligence and Data Engineering specialist with a track record of delivering bespoke solutions that yield measurable results. My expertise encompasses reporting and visualization, ETL, programming languages, metadata management, databases, cloud systems, and project management.