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About me (Registered since 30/08/2025)
Results-driven Software Engineer with 4+ years of experience in Data Analytics and Engineering, specializing in Data Warehousing, ETL, Process Automation, and Big Data using Python and AWS. Skilled in Amazon Web Services, Python, Pandas, Pyspark, SQL, Talend, Power BI, and Microsoft Fabric.
Recognized with the 2022 Accenture Superhero – Super Innovator (Solo) Award for driving innovation. Adept at delivering impactful solutions in dynamic, fast-paced environments.
Skills
Tech Skills
Education
- June 2014 - March 2020
Work Experience
-
October 2024 - Present
Seven Seven Global Services , Philippines
Data Engineer
• Developed and deployed scalable data processing pipelines using SQL, Python, and PySpark to support
large-scale data transformations and integrations.
• Built and maintained serverless data workflows on AWS, utilizing Glue, Athena, Lambda, Redshift, S3,
PostgreSQL, and Boto3 for robust ETL operations and analytics pipelines.
• Created multiple complex PostgreSQL queries aligned with evolving business requirements, supporting
operational and reporting needs across various departments.
• Designed and managed semantic models in Microsoft Fabric to streamline Power BI reporting, enabling
accurate, self-service analytics and improved data accessibility.
• Delivered interactive dashboards and insights using Power BI, tailored to key business metrics and KPIs.
• Collaborated in code development using Bitbucket and followed modern version control and branching
strategies to ensure smooth deployment cycles and team collaboration. -
October 2023 - October 2024
Digital Room, Philippines
Software Engineer L2
• Designed and developed data warehousing systems to meet company specifications, utilizing AWS services and modern data warehousing techniques.
• Extracted data from various sources, including REST APIs, SFTP/FTP, and other data streams, for processing, integration, and application of business rules.
• Ensured data quality and integrity throughout the ingestion process by implementing robust validation and cleansing procedures.
• Extracted, transformed, staged, and loaded data to multiple targets, including databases, data lakes, and data warehouses, using tools such as Talend, AWS Lambda, Kinesis, EMR, Redshift, Kafka and Data Pipeline.
• Developed and maintained stored procedures for efficient data processing and retrieval.
• Created and managed materialized views to optimize query performance and provide faster access to aggregated data.
• Troubleshooting issues promptly to maintain smooth data operations.
• Provided ongoing maintenance and support for data warehousing systems, ensuring optimal performance and reliability.
• Automated data workflows and optimized processes to enhance efficiency and reduce manual intervention.
• Created and maintained comprehensive documentation for data warehousing processes, procedures, and configurations to ensure clarity and facilitate knowledge transfer.
• Participate in the agile development process, including daily scrum, sprint planning, code reviews, and quality assurance activities. -
January 2021 - September 2023
Accenture, Philippines
Senior Data Engineer
• Hands-on experience building and managing ETL solutions on AWS, including Glue, Redshift, and S3.
• Designed and developed ETL/ELT pipelines for data migration and transformation across multiple sources (e.g., SQL Server, AccessDB), with performance tuning and job orchestration via Glue and Lambda.
• Supported data categorization, enrichment, cleansing, validation, and formatting for storage in Redshift and data lakes.
• Participated in agile development, including sprint planning, daily scrums, code reviews, and QA.
• Led a data warehouse migration project from Azure to AWS Redshift, improving scalability and cost-efficiency.
• Developed Python automation scripts to reduce manual workloads by 70%.
• Created and maintained reusable components to streamline ETL processes.
• Provided clear and actionable technical documentation to support maintainability and collaboration.
