larry ifesi

larry ifesi

About

Detail

Senior Data Engineer | Power BI & BI Solutions Expert |ETL Expert | Databricks, Snowflake, Azure | Driving Data Modernization & Compliance (SOX, HIPAA, NIST)
Dallas, Texas, United States

Contact larry regarding: 
work
Full-time jobs

Timeline


work
Job
school
Education

Résumé


Jobs verified_user 0% verified
  • Data Ideology
    Data Engineer
    Data Ideology
    Oct 2025 - Feb 2026 (5 months)
  • Rocktop Technologies
    Data Engineer/Power BI Developer
    Rocktop Technologies
    May 2024 - Sep 2025 (1 year 5 months)
    Delivered end-to-end Power BI, Tableau, and QuickSight solutions with composite models (SSAS, DirectQuery), advanced DAX, and paginated reports—accelerating decision-making speed by 70%.

    Robotized ingestion from Jira, Workfront, Adobe Analytics, and other APIs via Python and Power Automate—reducing manual handling by 60%.

    Built out ETL pipe to ingest data from Blob storage into Managed instance of SQL server using Bulk Inserts and SQL ETL scripts.
    Engineered and orchestrated ETL pipelines in Databricks, Apache Spark, Polybase, ADF, and SSIS, integrating Azure SQL,
    Snowflake, AWS S3, and Delta Lake—boosting processing speed by 40%.

    Transitioned legacy workflows to Kafka streaming, cutting data lat
  • Vaya Health
    Business Intelligence Engineer
    Vaya Health
    Oct 2022 - May 2024 (1 year 8 months)
    Constructed an ODS with fact/dimension tables for SSDIL—cutting report generation time by 35%.

    Built and launched interactive dashboards in Power BI, Excel PowerView/Query/Pivot—reducing manual reporting by 45%.

    Integrated and fine-tunedDatabricks with ADLS & AWS S3; optimized Spark jobs—lowering cluster costs by 20%.

    Introduced Kafka streaming pipelines for real-time processing, reducing data lag to under 5 minutes.

    Implemented SSIS/ADF pipelines into Azure SQL; modeled dimensional structures for BI reporting.

    Rolled out CI/CD pipelines across production/test/development, reducing deployment errors by 30%.

    Formulated complex Power BI & Paginated Reports—cutting insuran
  • Cardinal Health
    Data Engineer
    Cardinal Health
    Feb 2020 - Oct 2022 (2 years 9 months)
    Established an Operational Data Store (ODS) with multiple fact and dimension tables, standardizing enterprise data architecture and improving reporting consistency by 30%.

    Deployed Power BI and Excel S&OE dashboards, improving supply chain visibility by 40% and accelerating leadership decision-making.

    Integrated PowerApps, SharePoint, Dataverse, and Dynamics 365 to streamline workflows, eliminating redundant entry and boosting user adoption by 25%.

    Built and maintained Azure Data Factory (ADF) and SSIS pipelines to extract, transform, and load (ETL) data into Azure SQL, while enforcing CI/CD pipelines for repeatable deployments.

    Assembled operational processes using Power Automate, cutting man
  • GHX
    Data Engineer
    GHX
    Jul 2017 - Jan 2020 (2 years 7 months)
    Collaborated with SMEs to define KPIs and reporting needs; automated refresh schedules with the Power BI REST API, eliminating 100% of manual report maintenance.

    Architected and deployed an Operational Data Store (ODS) with dimensional models, integrating on-premises data via Power BI Gateway for real-time reporting.

    Implemented Role-Level Security (RLS) across datasets, reducing unauthorized access incidents by 50% and ensuring compliance with data governance.

    Automated Power BI report distribution via Power Automate workflows, delivering secure RLS-enabled reports directly to stakeholders, increasing decision-making speed.

    Created and optimized SQL objects (tables, stored procedures, UDFs, v
Education verified_user 0% verified
  • Colorado State University Global
    Artificial Intelligence and Machine Learning, Info Tech
    Colorado State University Global
    Jan 2023 - Dec 2025 (3 years)
    Completed 30 credits of advanced coursework in AI, ML, software engineering and computer vision. Capstone project: [Project Title] — developed a full-stack neural-network model for [use case], achieving [metric: e.g., 92% accuracy, ROC AUC 0.94]. Developed proficiency in Python, TensorFlow, PyTorch, cloud platforms (AWS/Azure), algorithm design, and ML deployment. Conducted ethical review and bias mitigation of ML systems; led a cross-functional team in a production-ready AI solution. Demonstrated strong project-management, algorithmic, data-engineering and leadership skills in AI domain.
  • Nnamdi Azikiwe University
    Bachelor's degree, Chemical Engineering
    Nnamdi Azikiwe University
    Jan 2006 - Dec 2009 (4 years)
    Successfully developed a laboratory-scale process model for converting agricultural waste into ethanol, achieving measurable yield efficiency improvements.

    Designed an energy-efficient heat-exchange network for a petrochemical process, reducing overall utility demand in simulation by up to 20%.

    Collaborated with peers to optimize wastewater treatment parameters, enhancing effluent quality and meeting national discharge standards.

    Received departmental recognition for academic excellence and teamwork during the final design presentation.
Projects (professional or personal) verified_user 0% verified
  • R
    Realtime Data Streaming | End-to-End Data Engineering Project
    This project is a practical, end-to-end blueprint for constructing a data engineering pipeline. It walks through ingestion, processing/transformation, and storage, using a solid stack: Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. The whole system is containerized with Docker to streamline deployment and enable easy scaling. https://github.com/Gr34tN00b/Data_Engineering/
This is a community-created genome.