prefeitura-rio/pipelines_rj_sms
Nov 2024 – Nov 2024
1 Month active
Languages Used
DockerfilePythonSQLShell
Technical Skills
Cloud StorageData EngineeringDatabase IntegrationDatabase ManagementDevOpsETL
Thiago Felipe
PROFILE
Thiago Felipe
Worked on the prefeitura-rio/pipelines_rj_sms repository to overhaul the VitaCare data ingestion pipeline, focusing on production readiness and reliability. Designed an end-to-end workflow that creates a temporary database from backup, executes extraction queries, generates parquet files, and uploads data to the lake. Leveraged Python scripting, SQL, and Docker to automate and orchestrate the process, including setting up a reproducible MSSQL environment for both local and CI runs. Addressed race conditions in SQL execution and improved backup and blob handling. These enhancements increased data quality, timeliness, and maintainability, supporting faster decision-making and streamlined ongoing maintenance for the pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
1
Lines of code
430
Activity Months1
Your Network
18 peopleShared Repositories
18
Christian BasilioMember
HamsterGullosoMember
Daniel LiraMember
Daniel LiraMember
Daniel LiraMember
Daniel LiraMember
DayaneRamosMember
Gabriel Gazola MilanMember
heriancMember
Work History
November 2024
8 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11: On prefeitura-rio/pipelines_rj_sms, delivered a robust VitaCare data ingestion overhaul and prepared the pipeline for production-grade reliability and scale. Implemented end-to-end data flow: create temporary DB from backup, run extraction queries, generate parquet files, and upload to the data lake. Strengthened backup handling, blob processing, and CI/CD automation. Set up MSSQL environment in Docker for consistent local/CI runs and addressed race conditions in SQL execution. These efforts improved data timeliness, quality, and reproducibility, enabling faster decision-making and easier maintenance.
8 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11: On prefeitura-rio/pipelines_rj_sms, delivered a robust VitaCare data ingestion overhaul and prepared the pipeline for production-grade reliability and scale. Implemented end-to-end data flow: create temporary DB from backup, run extraction queries, generate parquet files, and upload to the data lake. Strengthened backup handling, blob processing, and CI/CD automation. Set up MSSQL environment in Docker for consistent local/CI runs and addressed race conditions in SQL execution. These efforts improved data timeliness, quality, and reproducibility, enabling faster decision-making and easier maintenance.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance67.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfilePythonSQLShell
Technical Skills
Cloud StorageData EngineeringDatabase IntegrationDatabase ManagementDevOpsETLError HandlingFile HandlingOrchestrationPrefectPython ScriptingSQL
Repositories Contributed To
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