02.03.2026 aktualisiert

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Data Analytics Engineer - Power Platform Developer

Hennigsdorf, Deutschland
Weltweit
MSc.
Hennigsdorf, Deutschland
Weltweit
MSc.

Profilanlagen

CV Data Engineer role_ Ayokunle Samuel Adenigba.pdf
CV_Ayo_Data_Analytics_Professional.pdf

Über mich

Data Analytics Consultant with a decade of domain expertise in Renewable Energy, SCADA and IoT. Specialist in designing and implementing scalable, data solutions for the energy sector. Translating complex energy challenges into solutions and building business app to facilitate the implementation.

Skills

APIsKünstliche IntelligenzApache AirflowAmazon Web ServicesData AnalysisArchitekturAutomatisierungMicrosoft AzureCloud ComputingDatenbankenContinuous IntegrationDagsDatensammlungInformation EngineeringData IntegrationETLDatenmodellDatenqualitätDatenvisualisierungData WarehousingDevOpsDistributed ComputingEnergiemarktSteuerungErneuerbare EnergieSCADAJSONPythonPostgreSQLInstandhaltungProjektmanagementSchadenquotenMicrosoft Sql-ServerAzure SQLMongoDBObjektorientierte Software-EntwicklungOperative IntelligenzPerformance-TuningPhotovoltaikVorbeugende InstandhaltungVisualisierungWirtschaftlichkeitsanalyseMicrosoft Power BICloud-ServicesAzure Machine LearningAzure Data LakeSOAPSoftwareentwicklungSQLStakeholder ManagementLagerverwaltungStreamingIntegration (Software)Transact-SqlVersionierungWettervorhersageWorkflowsExtensible Markup LanguageAblaufplanungDatenverarbeitungTestenKatalogeDatenspeichertechnologienMetrikenFeature-EngineeringMicrosoft Power AutomateAzure Data FactorySnowflakeApache SparkBackendGitPowerqueryData LakeData LineageCollibraInfluxDBApache FlinkDatenanalytikLow-codeApache KafkaApache NifiSpark StreamingDatenmanagementMachine Learning OperationsWindkraftAzure Synapse AnalyticsDaten-PipelineErkennung von AnomalienServerless ComputingMicrosoft PowerAppsAdministration von DatenbankenKpi-BerichterstattungDatabricksProgramming Languages
Data Sources & Ingestion:
  1. Databases: SQL Server, Snowflake, PostgreSQL, Mongo DB, InfluxDB)
  2. API Integration: REST/SOAP (Python: requests), Energy Market APIs, Weather APIs
  3. Streaming Ingestion: Apache Kafka, Apache Flink, Spark Structured Streaming, Azure Event Hubs
  4. Batch Ingestion: Azure Data Factory, Custom Python, Apache NiFi
  5. Data Processing & Transformation:
  6. Distributed Computing: Apache Spark (Advanced Optimization), Apache Flink
  7. Transformation: dbt (Advanced Models & Testing)
  8. Languages: Python (Advanced), Scala (for Spark/Flink), SQL (Complex Queries)
  9. Analytics Languages: DAX, Power Query (M), Power Fx
  10. Data Storage & Warehousing:
  11. Cloud DWH: Snowflake (Advanced Design, Performance Tuning)
  12. Cloud Data Lakes: ADLS Gen2; Table Formats (Delta Lake/Iceberg)
  13. Databases: SQL Server, PostgreSQL, Mongo DB
  14. Data Integration & Orchestration:
  15. Workflow Management: Apache Airflow (Complex DAGs), Azure Data Factory, MS Power Automate
  16. Data Quality & Governance:
  17. Data Quality Frameworks: Great Expectations, Deequ , dbt tests
  18. Data Catalogs: DataHub; Azure Purview (Conceptual: Amundsen)
  19. Data Lineage: (dbt, Airflow)
  20. MLOps & Advanced Analytics Support:
  21. Data Pipelines for ML, Feature Engineering, Data Versioning (DVC)
  22. Feature Stores: (Conceptual: Feast)
  23. AI Platforms: Google AI Studio, (Azure ML, SageMaker)
  24. Cloud Platforms & Architecture, CICD:
  25. Microsoft Azure (Databricks, DevOPs, Logic, Fabric, Serverless Functions, Container Services)
  26. Power Platform
  27. Snowflake Ecosystem
  28. AWS
Portfolio Projects
  1. Real-Time Renewable Energy & Market Analytics Platform
  2. Developed an end-to-end streaming platform ingesting simulated SCADA data, live energy market prices (ENTSO-E API), and weather forecasts.
  3. Utilized Apache Flink for real-time processing, KPI calculation, and anomaly detection, achieving sub-second latency for critical metrics.
  4. Engineered a Snowflake backend for efficient storage and dbt for transformations, enabling a Power BI dashboard for real-time operational intelligence and profitability analysis.
  5. Quantified Impact: Enabled simulated operators to identify 25% more profitable trading windows and react 20% faster to production anomalies.
  6. Performance analytics & Predictive Maintenance Data Pipeline for Solar PV & Wind Turbines
  7. Built a scalable batch data pipeline to process historical sensor data for predictive maintenance modeling.
  8. Implemented robust data quality validation using Great Expectations, ensuring 98% data accuracy for ML model input.
  9. Quantified Impact: Demonstrated a pipeline capable of providing data to potentially reduce unscheduled downtime and optimize maintenance schedules.
  10. LOW-CODE APP & ​ETL/ELT AUTOMATION ON MICROSOFT POWER PLATFORM​
  11. Developed a low-code app and ETL pipeline using PowerPlatform to automate solar meteorological data collection from multiple data providers and process them effectively.​
  12. Leveraged Power Apps, Power Automate, SQL Server, and Power BI to streamline data acquisition, transformation, and analytics.​





Sprachen

DeutschgutEnglischMuttersprache

Projekthistorie

Analytics Engineer

Leitway

Energie, Wasser und Umwelt

< 10 Mitarbeiter

Designed and implemented an end-to-end cloud-native analytics solution (Databricks + Azure Delta Lake + dbt + Power BI) to optimize contractual performance evaluation and compliance data delivery for critical phases in solar projects.

Data Analytics Engineer

Ib vogt GmbH

Energie, Wasser und Umwelt

500-1000 Mitarbeiter

  1. Performance analytics workflows and asset optimization of Solar farms.
  2. Low code application and automation development for Business process efficiency.
  3. Data models and visualizations for prediction, and resource planning

Power platform developer & Process automation

World Mission Agency WCI

Internet und Informationstechnologie

500-1000 Mitarbeiter

Developed process automation for volunteer engagement management using Microsoft365 forms and Power Automate. Created Python tools for preprocessing multilingual presentation slides.

Data Analyst

Ib vogt GmbH
Conducted specialized python-based data analysis of energy, grid, and meteorological data from solar PV sites to optimize future PV system designs and achieve operational excellence.

Freelance

Hash Analytics
Performed data analysis and visualization with Tableau, and developed actionable decisions using Python-based data analysis tools.

Solar PV : modeling & Technical Sales

Nexgen Energy
• Modeling of behind-the-meter PV, BESS solutions and systems. Customer and Stakeholder engagement on cost-benefit analysis.
• Manage full project lifecycle, from development to execution
• Systems Integration including module layout, structures, cable routing, SLD's.
• Provided on-site engineering support during construction and commissioning phases, resolving real-time design and installation issues.

Zertifikate

Certified Power Platform Consultant

Microsoft

2025

Data Engineer

Datacamp

2025

Deutsch B2

Telc

2025

Fabric Data Analytics Engineer Associate

Microsoft

2024

Big Data Analytics in the Electricity Grid

Engineering Institue of Technology

2022

Digitalisation of intelligent and Integrated Energy Systems

Delft University of Technology

2022

Portfolio

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