DataBytes-Organisation/DiscountMate_new
Jan 2026 – May 2026
2 Months active
Languages Used
PDFMarkdownPythonSQL
Technical Skills
database managementdocumentationonboarding processesDuckDBETLMongoDB
Rebekah De Losa
PROFILE
Rebekah De Losa
Over a two-month period, contributed to the DataBytes-Organisation/DiscountMate_new repository by building a standardized MongoDB onboarding process and delivering an end-to-end data processing pipeline for Woolworths pricing data. Developed comprehensive SOP documentation to streamline onboarding and ensure consistent database practices, reducing ramp time for new engineers. Designed and implemented a pipeline using Python and SQL for data loading, transformation, quality assurance, and persistence, with category mapping and pricing transformation logic. Enhanced repository governance through detailed documentation and migration notes, supporting a transition toward PostgreSQL. Focused on maintainability, data reliability, and knowledge sharing, with an emphasis on database management and ETL workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
3
Lines of code
734
Activity Months2
Your Network
146 peopleSame Organization
@deakin.edu.au99
JustinMember
Amed-dhMember
CodeNinja4GitMember
Adrian FariaMember
RynGMMember
Brett McBrideMember
bshean1Member
Cjay BasaMember
Stefan CucosMember
Work History
May 2026
7 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DataBytes-Organisation/DiscountMate_new: Delivered an end-to-end Woolworths data processing pipeline (loading, transforming, quality checks, and persisting processed data to the database) with SQL-based pricing transformation and category mapping. Also produced MongoDB pathway documentation with SOPs and a data upload notebook to support migration toward PostgreSQL and streamlined ingestion of Woolworths pricing data into MongoDB. These efforts improved data reliability, timeliness of pricing data, and laid the groundwork for upcoming changes.
7 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DataBytes-Organisation/DiscountMate_new: Delivered an end-to-end Woolworths data processing pipeline (loading, transforming, quality checks, and persisting processed data to the database) with SQL-based pricing transformation and category mapping. Also produced MongoDB pathway documentation with SOPs and a data upload notebook to support migration toward PostgreSQL and streamlined ingestion of Woolworths pricing data into MongoDB. These efforts improved data reliability, timeliness of pricing data, and laid the groundwork for upcoming changes.
May 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) focused on establishing standardized MongoDB operating procedures for DiscountMate onboarding. Delivered MongoDB SOP Documentation for DiscountMate Onboarding in the DiscountMate_new repository. This single feature creates repeatable onboarding and governance practices that reduce ramp time and operational risk. No major bugs reported this month; efforts were dedicated to documentation, process alignment, and repository governance. Impact includes faster onboarding, safer MongoDB usage, and a solid foundation for future feature work. Technologies/skills demonstrated include MongoDB best-practice SOPs, technical documentation, and Git-based collaboration.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) focused on establishing standardized MongoDB operating procedures for DiscountMate onboarding. Delivered MongoDB SOP Documentation for DiscountMate Onboarding in the DiscountMate_new repository. This single feature creates repeatable onboarding and governance practices that reduce ramp time and operational risk. No major bugs reported this month; efforts were dedicated to documentation, process alignment, and repository governance. Impact includes faster onboarding, safer MongoDB usage, and a solid foundation for future feature work. Technologies/skills demonstrated include MongoDB best-practice SOPs, technical documentation, and Git-based collaboration.
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPDFPythonSQL
Technical Skills
DuckDBETLMongoDBPostgreSQLPythonSQLSQL scriptingdata cleaningdata engineeringdata processingdata transformationdata validationdatabase managementdatabase migrationdocumentation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline