Cherry Mae Pozon

• Highlights:
  - Accenture FY23 Annual Gantimpala Sinag Awardee
  - Accenture FY23 Q1 Gantimpala Sinag Awardee
  - Accenture FY24 Q3 Banking Client Collaborate Individual Awardee
  - Accenture People Leadership Credential
  - AWS Database Specialty Certification
  - Certified Data Vault Practitioner
  - Accenture Data Architect Certification
• Primary Roles and Responsibilities:
  [1] Data Engineering Lead - Tech Arch Optimization Pod
  • Leadership: Led a team of 30+ members within a large financial analysis project, optimizing databases, data ETL pipelines, data orchestration, and API development.
  • Innovation: Designed data migration strategies, including Big Data Migration from Redshift to Aurora.
  • Optimization: Developed reusable components, implemented proxy mechanisms, and applied data deduplication and hashing techniques.
  • Mentorship: Conducted knowledge transfer sessions and mentored junior data engineers.
  • Deployment Management: Managed deployments across multiple environments (DEV, QA, UAT, Pre-prod 1, Pre-prod 2, PROD).
  • Recruitment: Organized interviews to expand the team.
  • Prototyping: Developed POCs and MVPs for optimization initiatives.
  
  [2] Data Migration Consultant – CG&S Industry Client
  • Data Migration: Planned the migration of on-premises data to AWS Redshift (Provisioned and Serverless).
  
  [3] AWS/GCP Data Engineer – Banking Industry Client
  • Data Transformation: Utilized AWS Lambda and AWS Glue for data transformations within AWS Data Lake.
  • Collaboration: Worked with business teams, testers, and operations for successful data integration.
  • Data Vault Principles: Implemented principles for ingesting data using dbt into Google BigQuery with high data quality and security.
  
  Additional Contributions:
  ATCP Data & AI Strategy and Architecture Team: Supported Learning and Development.
  AWS Alliance Partner: Managed the People section.
  AWS Data Engineering Bootcamps: Facilitated two batches, achieving an average rating of 4.9/5 from participants.

Highlights:

- Skip-promoted from Associate to Senior within 20 months

- Accenture Gantimpala Agila FY22 Q2 Awardee – Execute with Agility

Primary Roles and Responsibilities:

Data Engineer Lead

• Scope: Led a team of 15+ members within a large financial analysis project of 100+ people, focused on financials and ESG dashboards, My Watchlist, My Notifications, and Usage Tracking.

• Leadership: Trained and mentored junior developers and engineers in API, ETL, Database, AWS, and team performance improvement.

• Code Modernization: Updated legacy code bases to meet modern development standards, enhancing functionality and efficiency.

• Deployment Management: Managed the overall deployment plan, including development schedules and technical guidance for production support.

• Optimization: Built and leveraged reusable code and libraries, leading code and quality management reviews.

• Problem Solving: Oversaw and resolved defects or performance issues identified during testing.

Highlights:

• Accenture Gantimpala Agila FY21 Q3 Awardee – Execute with Agility
• Assigned as API and ETL SME of the Pod within 6 months

API Developer – Aurora to Redshift Data Migration

• Data Migration: Converted API codes to facilitate data migration from Aurora to Redshift, including SQL query modifications, data structure adjustments, and delivery to front-end consumers.
• Reusable Functions: Created reusable functions utilized by multiple teams within an 80+ member project.
• Deployment: Managed deployments and collaborated closely with the operations team.
• Optimization: Presented successful optimizations and new initiatives during migration to the entire project team.

Backend SME – Financial Analysis Web App Dashboards

• Team Leadership: Led 3 members of the API Team to deliver data from databases to consumers for Financials, Custom Financials, COVID, and ESG dashboards.
• ETL Specialist: Solely created the data pipeline for ESG data from Google BigQuery.
• Knowledge Transfer: Conducted knowledge transfer sessions and handovers detailing the data extraction process, pipeline management, and consumer code integration.