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Sibahle Hashe

Sibahle Hashe

Data Engineer

Talent
JohannesburgMember since April 21, 2026
End-to-End Data EngineeringBronze → Silver → Gold architecturePredictive Maintenance AnalyticsMachine Learning ModellingPythonNumPyPandasMatplotlibScikit-LearnPyTorchSQLMS SQL ServerPostgreSQLPower BIDAX OptimisationAzure Data FactoryAzure Blob StorageAzureDatabricksNotebook orchestrationSpark optimisationMicrosoft FabricStructured Data ProcessingUnstructured Data ProcessingRAGAI Chatbot DevelopmentLangChainOllamaETL/ELT Workflow AutomationData GovernanceQuality ChecksStored ProceduresAgile MethodologyTechnical DocumentationERDsAnomaly DetectionIsolation ForestAutoencodersRandom ForestCross-functional Collaboration
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End-to-End Data EngineeringBronze → Silver → Gold architecturePredictive Maintenance AnalyticsMachine Learning ModellingPython

About

I am an experienced data developer with strong exposure across predictive maintenance, industrial analytics, cloud engineering, and financial services. I specialise in designing robust ETL data pipelines, machine learning lifecycles, advanced analytics dashboards, and AI-driven automation tools. My capabilities include Python, SQL, Azure, Power BI, Databricks, Microsoft Fabric, and RAG/LLM-based solutions.

I have successfully built anomaly detection models, automated ETL frameworks, optimised reporting performance, processed both structured and unstructured datasets, and collaborated with engineering teams to map sensor anomalies to real-world machine behaviour.

Experience

Data Scientist/Data Analyst - Industrial Sector at Motornostixx (2025-04 – Present)

Designed and implemented end-to-end machine learning lifecycles supporting predictive maintenance for heavy machinery. Developed anomaly detection models and built interactive Power BI dashboards. Engineered RAG-based chatbots and automated transcription tools for industrial use cases.

  • Designed and implemented end-to-end machine learning lifecycles supporting predictive maintenance for heavy machinery
  • Developed anomaly detection models using Isolation Forest, Autoencoders, and Random Forest, enabling early identification of potential machine failures
  • Conducted in-depth analysis of sensor behaviour and worked closely with engineering teams to interpret mechanical patterns, linking sensor anomalies to real-world incidents
  • Built interactive Power BI dashboards presenting machine health, downtime trends, failure probabilities, and operational KPIs
  • Engineered RAG-based chatbots and automated transcription tools to streamline operator reporting and natural-language querying of machine data
  • Applied LangChain and Ollama to develop privacy-preserving, localised AI tools for industrial use cases
  • Participated in weekly and monthly planning meetings and used a structured calendar-based priority system to meet deadlines consistently, often delivering tasks ahead of schedule

Data Engineer - FSBC Industry at LTI MindTree (2022-08 – 2025-04)

Designed, built, and maintained scalable data pipelines and integration workflows using Azure Data Factory, Microsoft Fabric, and related Azure cloud services. Implemented Bronze → Silver → Gold architecture for structured API-driven datasets and automated ETL processes.

  • Designed, built, and maintained scalable data pipelines and integration workflows using Azure Data Factory (ADF), Microsoft Fabric, and related Azure cloud services
  • Implemented Bronze → Silver → Gold architecture for structured API-driven datasets: Bronze (Raw API-extracted data), Silver (Automated cleaning, deduplication, and column standardising), Gold (Aggregated, analyses-ready datasets for reporting and forecasting)
  • Automated ETL processes to ensure consistent pipeline refreshes and reduce manual errors
  • Managed PostgreSQL databases, implementing role-based access controls, stored procedures, and views to enhance performance, security, and governance
  • Integrated and transformed data from diverse internal and external sources, ensuring accuracy and consistency for financial reporting
  • Automated reports and dashboards using Power BI, Excel, and Azure reporting tools, optimising dashboard performance by rewriting inefficient DAX measures
  • Collaborated with cross-functional teams to translate business requirements into scalable data solutions

Student Teacher at Mezodo Secondary School (2022-04 – 2022-06)

Designed and delivered curriculum-aligned lesson plans tailored to learner needs. Implemented structured classroom discipline and learner engagement strategies.

  • Designed and delivered curriculum-aligned lesson plans tailored to learner needs
  • Implemented structured classroom discipline and learner engagement strategies
  • Practised reflective teaching, adjusting methods based on learner performance and mentor feedback
  • Assisted with marking, content preparation, and assessment support

Assistant Teacher at Forte High School & Jorge Khoza High School (2020-11 – 2022-02)

Supported lesson delivery, assessment creation, and classroom activities. Provided one-on-one learner assistance and academic reinforcement.

  • Supported lesson delivery, assessment creation, and classroom activities
  • Provided one-on-one learner assistance and academic reinforcement
  • Assisted with marking, lesson preparation, and curriculum execution
  • Helped maintain classroom discipline and a positive learning atmosphere

Education

Bachelor Degree in Information Systems – Management College of Southern Africa (MANCOSA) (2017 – 2019)

Higher Certificate – Westridge High School (2011 – 2015)

Skills

Data Engineer

Reviews

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