Michael Gardner Email and Phone Number
Michael Gardner work email
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Michael Gardner personal email
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Data Engineer SupervisorAuction Edge, Inc. Jun 2024 - PresentFranklin, Tn, UsAs a Data Engineering Manager, I lead a dynamic team in designing and building scalable data pipelines and applications that enable data-driven decision-making. My expertise is in utilizing PySpark, AWS, and MongoDB to architect and optimize complex data workflows, ensuring efficient data processing, storage, and analytics for large-scale operations.Key responsibilities include:* Overseeing the end-to-end design, development, and deployment of data pipelines, ensuring seamless data flow and real-time processing.* Leveraging PySpark to handle large datasets and implement distributed computing solutions.Managing cloud infrastructure on AWS, optimizing resources, security, and cost-efficiency for data operations.* Designing and managing MongoDB databases to store and retrieve structured and unstructured data efficiently.* Collaborating cross-functionally with data scientists, analysts, and product teams to ensure alignment with business goals and project requirements.* Mentoring and developing a high-performing team of data engineers, fostering a culture of continuous improvement and innovation.I’m passionate about solving complex data challenges, driving data architecture improvements, and empowering businesses to gain actionable insights through well-architected data platforms. -
Co-FounderDeductibledata Co Mar 2023 - PresentNashville, Tn, UsSpearheaded the architecture and development of an application, pipeline, and data model aimed at pulling and hosting payer price transparency data, democratizing healthcare pricing data.Key Achievements:• Engineered a Python application designed for scalability across thousands of AWS EC2 instances. This application efficiently ingests large volumes of JSON files, collectively amounting to petabytes of data.• Conceptualized and implemented a highly optimized data model. This model normalizes and structures the data more efficiently compared to the CMS mandated schema, significantly reducing storage costs while enhancing query efficiency.• Developed and orchestrated incremental structured streaming workflows on Databricks. By eliminating the need for repetitive reprocessing, these workflows streamline operations and drive down associated costs.• Leveraged Delta Sharing and various other platforms to host data, empowering customers with self-service capabilities. -
Senior Data EngineerVeracity Consulting Group, Llc Dec 2022 - Jun 2024Glen Allen, Virginia, Us• Engineered Spark pipelines to ingest terabytes of structured and unstructured data from Azure Storage accounts, S3 buckets, and Kafka using various streaming APIs including Autoloader, while also developing batch pipelines for direct ingestion from Oracle, MongoDB, and SQL Server sources leveraging federated and JDBC queries.• Implemented software engineering best practices into workflows using DBX and Databricks bundles.• Contributed to the deployment of CDC tools like Debezium and Qlik Replicate.• Developed tools for pipeline monitoring and data metrics collection, enhancing data quality insights and usage speed.• Served as the subject matter expert for troubleshooting Spark jobs encountering issues such as Out of Memory (OOM) or Disk Spillage.• Executed various proof of concepts, including entity resolution using Splink and incremental processing in the silver and gold medallion layers using change data feed.• Mentored the existing warehouse team on Spark and Databricks best practices.• Conducted training sessions to onboard the data science team onto the Databricks platform. -
Business Intelligence Engineer / Data ScientistChange Healthcare Jan 2014 - Oct 2021Nashville, Tennessee, Us• Leveraged BI tools to develop dashboards, reports, and models used to track key metrics that drive business growth• Responsible for the forecast and budget accuracy of over $500 million of annual revenue• Implemented machine learning techniques into our financial modeling to increase overall accuracy by over 50%• Linked various enterprise systems through exploratory data analysis and automated various pipelines used in our data warehousing• Led and conducted changes to our project management system that increased collaboration and provided a real-time revenue forecast• Planned and executed new business processes to track, report, and analyze our revenue compression• Developed an XGBoost model to predict the installation window for Salesforce booking opportunities • Identified issues with our contract language that resulted in saving hundreds of thousands of revenues each year• Built an outlier detection model to help support leadership identify customers that may need their attention• Uncovered millions in unrealized revenue while exploring our financial system’s backend• Assigned risk scores to current customers using Random Forest modeling. -
Senior Financial AnalystMckesson Sep 2007 - Jan 2014Irving, Texas, Us• Provided financial guidance to the executive leadership team• Responsible for developing and producing monthly actual vs budget and reporting variances• Trained peers and on-boarded new financial analysts• Assisted in restructuring the business financial hierarchy• Coordinated monthly with Sales and Operations to discuss opportunities and risks that may affect the financial forecast.
Michael Gardner Skills
Michael Gardner Education Details
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Auburn UniversityAccounting And Finance
Frequently Asked Questions about Michael Gardner
What company does Michael Gardner work for?
Michael Gardner works for Auction Edge, Inc.
What is Michael Gardner's role at the current company?
Michael Gardner's current role is I walk so my CEO can run...to his yacht..
What is Michael Gardner's email address?
Michael Gardner's email address is mi****@****are.com
What schools did Michael Gardner attend?
Michael Gardner attended Auburn University.
What skills is Michael Gardner known for?
Michael Gardner has skills like Forecasting, Business Intelligence, Budgets, Leadership, Process Improvement, Financial Reporting, Financial Modeling, Access, Qlikview, Microsoft Excel, Sap, Peoplesoft.
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