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BlvckOgre/README.md

Hi there, I'm Dimakatso Thatoyaka Malope 👋

Typing SVG

🚀 About Me

I’m a Data Engineer with hands-on experience in data modelling, pipeline development, and cloud-based analytics across logistics and financial environments.

  • Skilled in designing conceptual, logical, and physical data models for operational and analytical reporting.
  • Proficient in Kimball dimensional modelling (Star & Snowflake schemas) to optimize reporting and BI solutions.
  • Experienced in ETL/ELT pipelines, fact/dimension tables, KPI dashboards, and advanced analytics.
  • Strong background in Azure, AWS, Oracle, Microsoft Fabric, Databricks, and Spark.
  • Passionate about automation, security by design, and scaling data solutions for business insights.

💡 Currently expanding into DevOps and Cybersecurity/DevSecOps to further strengthen my ability to deliver secure, scalable, and automated systems.

🔭 What I'm Currently Working On

  • Building data pipelines in Databricks & Azure.
  • Designing data marts and governance-compliant models for analytics.
  • Expanding into cloud security, CI/CD, and containerized solutions.

🌱 Currently Learning

  • DevOps practices (CI/CD, Docker, Kubernetes, GitHub Actions)
  • Cybersecurity / DevSecOps
  • Advanced Cloud Data Engineering (Microsoft Fabric, Databricks, Spark Streaming)

🛠️ Technical Skillset

Big Data & Cloud

Programming & Automation

Data Analysis & Visualization

DevOps & Security

🎓 Certifications

  • Microsoft Fabric Data Engineering Associate
  • Oracle Cloud Data Platforms Foundations Associate
  • Oracle Cloud Infrastructure AI Foundations Associate (2025)
  • Databricks Fundamentals
  • HackerRank Advanced SQL & Python
  • IBM AI & Data Science (Python, AI Foundations)

🏆 Check Out My Full Portfolio Website

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  1. StreamDLT-A-Declarative-CDC-Pipeline-with-Delta-Live-Tables StreamDLT-A-Declarative-CDC-Pipeline-with-Delta-Live-Tables Public

    This project demonstrates a **production-grade data pipeline** built using **Databricks Delta Live Tables (DLT)** — a fully managed, declarative ETL framework for building reliable, maintainable da…

    Python

  2. Lakehouse-Flow-Building-Scalable-Pipelines-with-Databricks-DBT Lakehouse-Flow-Building-Scalable-Pipelines-with-Databricks-DBT Public

    An end-to-end data engineering project that demonstrates how to architect a modern data lakehouse using Databricks, Spark Structured Streaming, Auto Loader, and dbt.

    Jupyter Notebook 1

  3. Azure-Data-Engineering-Project-Netflix-Streaming-Pipeline-with-Unity-Catalog-Medallion-Architecture Azure-Data-Engineering-Project-Netflix-Streaming-Pipeline-with-Unity-Catalog-Medallion-Architecture Public

    This repository contains an end-to-end real-time Azure Data Engineering project built around Netflix-style streaming data, simulating user behavior and viewing logs. The project demonstrates how to…

    Jupyter Notebook

  4. End-to-End-E-commerce End-to-End-E-commerce Public

    This project showcases a full end-to-end data engineering pipeline built using the Brazilian Olist e-commerce dataset, deployed using modern data tools and cloud services. It is structured around t…

    Jupyter Notebook

  5. Legacy-System-to-AWS-Migration-Lift-and-Shift-Modernization- Legacy-System-to-AWS-Migration-Lift-and-Shift-Modernization- Public

    This project migrates a traditional on-premise Flask web application to AWS cloud infrastructure using the Lift-and-Shift strategy with added modernization through managed services like RDS, S3, an…

    HCL

  6. Apache-Airflow-on-Steroids-with-Java-Scala-and-Python-Spark-Jobs Apache-Airflow-on-Steroids-with-Java-Scala-and-Python-Spark-Jobs Public

    This project orchestrates Spark jobs written in **Python**, **Scala**, and **Java** using **Apache Airflow**, all within a **Dockerized environment**. The DAG `sparking_flow` submits Spark jobs in …

    Java