03/25/2025 updated
100 % available
Experienced Data Engineer and Big Data Analytics Specialist
Abulug, Philippines
Worldwide
Bachelor of Science Major in Electronics EngineeringJava (Programming Language)Agile MethodologyArtificial IntelligenceAmazon Web ServicesData AnalysisBig DataBusiness EfficiencyBusiness ProcessesCloud ComputingComputer ProgrammingContinuous IntegrationInformation EngineeringExtract Transform Load (ETL)Data VisualizationData Warehousing
Data Engineering and Analytics
Expertise in data engineering, integration, migration, and big data analytics. Proficiency in data warehousing on cloud platforms and ETL processes.
Machine Learning and AI
Strong background in machine learning operations (MLOps) and implementation of AI models for business process optimization.
Programming and Cloud Technologies
Advanced skills in multiple programming languages including Python, Java, and SQL. Extensive experience with cloud platforms such as AWS and Google Cloud.
Data Visualization
Proficiency in creating interactive dashboards and comprehensive risk reports for business decision-making.
DevOps and CI/CD
Experience in implementing DevOps practices and CI/CD pipelines for improved software delivery and operational efficiency.
Big Data Technologies
Expertise in big data tools and frameworks including Hadoop, Spark, and distributed systems.
Agile Methodologies
Certified in Scaled Agile Framework (SAFe) and experienced in applying Agile methodologies to data projects.
Expertise in data engineering, integration, migration, and big data analytics. Proficiency in data warehousing on cloud platforms and ETL processes.
Machine Learning and AI
Strong background in machine learning operations (MLOps) and implementation of AI models for business process optimization.
Programming and Cloud Technologies
Advanced skills in multiple programming languages including Python, Java, and SQL. Extensive experience with cloud platforms such as AWS and Google Cloud.
Data Visualization
Proficiency in creating interactive dashboards and comprehensive risk reports for business decision-making.
DevOps and CI/CD
Experience in implementing DevOps practices and CI/CD pipelines for improved software delivery and operational efficiency.
Big Data Technologies
Expertise in big data tools and frameworks including Hadoop, Spark, and distributed systems.
Agile Methodologies
Certified in Scaled Agile Framework (SAFe) and experienced in applying Agile methodologies to data projects.
Languages
EnglishNative speaker
Project history
Collaborated with cross-functional team to implement classification machine learning models to automate risk type identification, reducing reliance on manual classification and improving operational efficiency and accuracy in business processes.
Supported and enhanced multiple machine learning model, including troubleshooting issues, optimizing algorithms, and ensuring seamless integration with existing systems to meet evolving business needs.
Maintained and enhanced multiple Python-based reporting applications to generate interactive dashboards and comprehensive risk reports, ensuring accurate and timely insights for business decision-making. Collaborated with cross-functional teams to optimize application performance and adapt reporting features to evolving business requirements.
Supported and enhanced multiple machine learning model, including troubleshooting issues, optimizing algorithms, and ensuring seamless integration with existing systems to meet evolving business needs.
Maintained and enhanced multiple Python-based reporting applications to generate interactive dashboards and comprehensive risk reports, ensuring accurate and timely insights for business decision-making. Collaborated with cross-functional teams to optimize application performance and adapt reporting features to evolving business requirements.
Collaborated with one of the largest health insurance provider networks in the USA to develop a comprehensive data pipeline using Databricks as our foundational data batch processing tool and Snowflake as unified repository for all Care Delivery Organization data under its umbrella. Encompassing member/patient, provider/hospital/medical practitioner, and pharmacy records, supporting the company's value-based care approach, focusing on proactive care delivery, cost reduction, and improved patient outcomes by leveraging data analysis to identify trends, address care gaps, and optimize healthcare delivery.
Established the resulting data repository as a foundational resource for healthcare analytic, enabling real -time analytics, data sharing and seamless SQL queries for ad-hoc analyses by data analyst and scientist alike, streamlining data-driven decision making.
Spearheaded the development of a collections of code, that would enable the company to seamlessly integrate other Care Delivery Organization data to the already established central data repository.
Established the resulting data repository as a foundational resource for healthcare analytic, enabling real -time analytics, data sharing and seamless SQL queries for ad-hoc analyses by data analyst and scientist alike, streamlining data-driven decision making.
Spearheaded the development of a collections of code, that would enable the company to seamlessly integrate other Care Delivery Organization data to the already established central data repository.
Collaborated with the product owners and system architects of one of the largest financial/insurance service company, managing a vast portfolio of assets based in Germany, to implement a transformative data warehousing initiative that centralized and
transformed fragmented data originating from diverse regions worldwide, unlocking a wealth of previously unutilized historical information.
Leveraged this data capability to implement advanced reporting and analytics systems based on historical insights, driving data-driven decision-making for improved efficiency, accurate forecasting, optimized resource allocation, cost savings, revenue growth, and enhanced market competitiveness.
As a data engineer, one of my roles is to collaborate closely with the system architect to craft and execute robust solutions to intricate data integrations challenges, ensuring they aligned seamlessly with the critical demands of the business. I meticulously engineered a robust Python codebase for the pipeline, harnessing the power of Apache Spark’s Python API, PySpark. This encompassed not only stringent data integrity checks but also a relentless pursuit of peak pipeline performance. Ensured the
consistent and reliable daily execution of the pipeline, developed comprehensive test cases and models, conducted rigorous regression testing as part of the code review process, and conducted unit testing for various functionalities.
Collaborated with engineering peers to provide valuable code review feedback and spearheaded the development and maintenance of the CI/CD pipeline.
Designed and developed both the front-end and back-end framework for a dashboard app running on top of Palantir Foundry that would support business/data analyst, simplify day to day analyses.
Conducted intricate data analyses and synthesized findings into comprehensive reports, facilitating data -driven decision-making
Collaborated with product owners conceptualize and strategize feature development, aligning with business objectives. Facilitated weekly requirements gathering sessions and led refinement efforts in coordination with business analyst and subject matter experts imploring Agile Methodologies and ceremonies like sprint planning, daily scrum meetings, reviews, product demonstrations and retrospective meetings with stakeholders
transformed fragmented data originating from diverse regions worldwide, unlocking a wealth of previously unutilized historical information.
Leveraged this data capability to implement advanced reporting and analytics systems based on historical insights, driving data-driven decision-making for improved efficiency, accurate forecasting, optimized resource allocation, cost savings, revenue growth, and enhanced market competitiveness.
As a data engineer, one of my roles is to collaborate closely with the system architect to craft and execute robust solutions to intricate data integrations challenges, ensuring they aligned seamlessly with the critical demands of the business. I meticulously engineered a robust Python codebase for the pipeline, harnessing the power of Apache Spark’s Python API, PySpark. This encompassed not only stringent data integrity checks but also a relentless pursuit of peak pipeline performance. Ensured the
consistent and reliable daily execution of the pipeline, developed comprehensive test cases and models, conducted rigorous regression testing as part of the code review process, and conducted unit testing for various functionalities.
Collaborated with engineering peers to provide valuable code review feedback and spearheaded the development and maintenance of the CI/CD pipeline.
Designed and developed both the front-end and back-end framework for a dashboard app running on top of Palantir Foundry that would support business/data analyst, simplify day to day analyses.
Conducted intricate data analyses and synthesized findings into comprehensive reports, facilitating data -driven decision-making
Collaborated with product owners conceptualize and strategize feature development, aligning with business objectives. Facilitated weekly requirements gathering sessions and led refinement efforts in coordination with business analyst and subject matter experts imploring Agile Methodologies and ceremonies like sprint planning, daily scrum meetings, reviews, product demonstrations and retrospective meetings with stakeholders