Prof-Drake-UMD/INST767-Sp25
Mar 2025 – May 2025
2 Months active
Languages Used
PythonBashMarkdownSQLYAML
Technical Skills
API IntegrationData IngestionData ProcessingEnvironment VariablesLoggingAirflow
merecc
PROFILE
Merecc
Over a two-month period, contributed to the Prof-Drake-UMD/INST767-Sp25 repository by building foundational data engineering infrastructure and real-time analytics pipelines. Developed a Python-based data ingestion system to collect and store information from FDA and news APIs, establishing a baseline for downstream analytics. Later, implemented a real-time market data pipeline using Google Cloud Functions, Pub/Sub, and BigQuery, enabling live ingestion and analysis of stock and news data. Enhanced project maintainability by introducing centralized environment configuration and improving repository structure. Emphasized security best practices by removing sensitive configuration from version control, demonstrating proficiency in Python, SQL, and Google Cloud Platform services.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
5,224
Activity Months2
Your Network
69 peopleWork History
May 2025
3 Commits • 2 Features
May 1, 2025For May 2025, the team delivered two high-impact features for Prof-Drake-UMD/INST767-Sp25: (1) Real-time Big Data market data pipeline enabling live ingestion from stocks, news, and trends with orchestration across Google Cloud Functions, Pub/Sub, Cloud Storage, and BigQuery; supporting faster, data-driven trading insights. (2) Secure environment configuration management for the data pipeline, reorganizing project structure, introducing a centralized environment configuration file, and hardening security by removing sensitive config from version control and updating ignore rules. No major bugs fixed this month; emphasis on reliability, security, and deployment hygiene. Key commits include cf9100113b7b445243cb55cabb283805d2a66483, 44e472351b78baf0a376473094908fb7c40e9eb1, and a65e4dff245827bbebd931d802c69f5cb66dd6de.
3 Commits • 2 Features
May 1, 2025For May 2025, the team delivered two high-impact features for Prof-Drake-UMD/INST767-Sp25: (1) Real-time Big Data market data pipeline enabling live ingestion from stocks, news, and trends with orchestration across Google Cloud Functions, Pub/Sub, Cloud Storage, and BigQuery; supporting faster, data-driven trading insights. (2) Secure environment configuration management for the data pipeline, reorganizing project structure, introducing a centralized environment configuration file, and hardening security by removing sensitive config from version control and updating ignore rules. No major bugs fixed this month; emphasis on reliability, security, and deployment hygiene. Key commits include cf9100113b7b445243cb55cabb283805d2a66483, 44e472351b78baf0a376473094908fb7c40e9eb1, and a65e4dff245827bbebd931d802c69f5cb66dd6de.
May 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for Prof-Drake-UMD/INST767-Sp25: Delivered foundational tooling to support onboarding and data-driven decisions. Implemented a project documentation scaffold and an initial data ingestion pipeline, establishing the groundwork for analytics and future feature delivery. No major bugs fixed this month. Overall impact: improved readiness for analytics, clearer project governance, and faster onboarding. Technologies/skills demonstrated: Python scripting for data ingestion, JSON data management, README-driven documentation, and disciplined Git commits.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for Prof-Drake-UMD/INST767-Sp25: Delivered foundational tooling to support onboarding and data-driven decisions. Implemented a project documentation scaffold and an initial data ingestion pipeline, establishing the groundwork for analytics and future feature delivery. No major bugs fixed this month. Overall impact: improved readiness for analytics, clearer project governance, and faster onboarding. Technologies/skills demonstrated: Python scripting for data ingestion, JSON data management, README-driven documentation, and disciplined Git commits.
Activity
Loading activity data...
Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance92.0%
AI Usage36.0%
Skills & Technologies
Programming Languages
BashMarkdownPythonSQLYAML
Technical Skills
API IntegrationAirflowBash ScriptingBig DataBigQueryCloud ComputingCloud FunctionsCloud StorageConfiguration ManagementData AnalysisData EngineeringData IngestionData Pipeline OrchestrationData ProcessingETL
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline