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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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ValGrace/README.md

👋 Hi, I’m Grace Valerie Anyango

⚙️ I enjoy designing and building secure, reproducible systems.

🤖👩‍💻☁️ I am a Software & Data engineer - building, orchestrating and debugging data pipelines,and operationalizing safe, scalable workflows.

💡 Core Skills

  • Database and Reporting: SQL (PostgreSQL, MySQL, SQLite) - indexing, query optimization, report generation, data mapping, ACID Compliance, data normalization
  • Programming Languages: JavaScript, Golang, Python, TypeScript, C#
  • Technical Documentation: System Design Documents (SDD), project proposals, System Requirement specification documents, technical manuals and articles, API documentation
  • Data and Migration: ETL pipeline design, database migration, data warehousing, orchestration
  • Security: defensive security tools integration, access control implementation, CVE tracking
  • APIs and Integration: REST API design and integration, microservices, serverless backends, API security
  • DevOps: Docker, CI/CD pipelines, Kubernetes, cloud infrastructure automation, AWS, GCP
  • Reporting and BI: Power BI, Matplotlib, dashboard design, data visualization

🛠️ Programming Expertise

  • Node.js, React, Golang, TypeScript, Python, **Linux Administration

🔧 Tools

  • Apache Airflow
  • Apache Kafka
  • Docker
  • Grafana
  • PySpark
  • Linux
  • Power BI

Valerie's GitHub stats

Top Langs

Pinned Loading

  1. terminal-ui terminal-ui Public

    Record terminal commands history

    Go

  2. RDBMS RDBMS Public

    A custom implementation of a relational database engine REPL mode with support for joins, indexing, DDL and DML queries

    Go

  3. ecommerce_spark_pipeline ecommerce_spark_pipeline Public

    A PySpark-based ecommerce data pipeline that ingest CSV data (customers, order_items, items, returns), transforms the data, and ensures data quality

    Python

  4. kraken_api_project kraken_api_project Public

    A real-time ETL pipeline using the Kraken API. Data is ingested with Airflow, staged in PostgreSQL, streamed through Kafka, processed with Spark, and served via Cassandra.

    Python

  5. RAG-translation-engine RAG-translation-engine Public

    Python

  6. binance_etl binance_etl Public

    An ETL pipeline using Binance crypto market trades APIs

    Jupyter Notebook