Lorenz Verzosa

Senior Data Engineer at Mojo
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Contact Information
us****@****om
(386) 825-5501
Location
New York, New York, United States, US
Languages
  • German Limited working proficiency
  • Spanish Elementary proficiency
  • English Native or bilingual proficiency

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5.0

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Chris Eberl

I had the pleasure to work with Lorenz during my time at Red Bull Media House North America. We were collaborating on various projects with tight timelines and he ensured our data reporting on the dev side was always spot on. What impressed me the most was how Lorenz could keep his team happy even under huge pressure situations. The culture he can build within a team can directly impact the outcome of any challenge you put him on. I didn‘t know Lorenz before I worked at RBMH NA, but we are still in touch and became good friends. Who doesn‘t want to work with their friends? All the best for your future Lorenz!

Patrick M.

Lorenz is really an exemplification of the term, "team leader". I had the pleasure of working with Lorenz at Red Bull, and he really made it a point to make all relationships with his team paramount. He was extremely knowledgeable on subjects. Lorenz took it to the next level of making sure the folks he worked with understood his intentions and "bought in" to his ideas. This increased morale and helped us a lot. Hope to work Lorenz again!

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior Data Engineer
      • Nov 2022 - Present

      Analytics engineering team lead • Prioritization and roadmap manager for analytics engineering • Executive, product, marketing, and engineering stakeholders • Managed two engineering resources Daily Fantasy Sports analytics lead • User event data pipeline architect • Data pipelines for backend services architect NBA projections machine learning engineering • Real time streaming stack utilizing AWS Step Functions, DynamoDB, Lambda, Docker Markets data lake • Lead data architect and team lead on consolidating historical sports statistics and odds Data analytics infrastructure architect • Improved analytics infrastructure reliability – weekly outages to month over month up time • Improved scalability and reduced data latency – AWS DMS replication using both full load and CDC • AWS Step Function, Lambda, Glue, S3, Kinesis, Redshift, and Redshift Spectrum stack (using Terraform) Show less

    • United States
    • Financial Services
    • 400 - 500 Employee
    • Senior Data Engineer
      • Nov 2021 - Nov 2022

      Anti-money laundering (AML) reporting • Lead engineer on AML reporting and account alerting • Utilized unit testing and automation on Apache Spark ETL to improve stakeholder trust and data reliability Ledger reconciliation reporting • Lead engineer on ledger reconciliation reporting in the analytics team • Snowflake and Airflow ETL Virtual currency transaction reporting (VCTR) • Lead engineer on VCTR automation and infrastructure • Collaboration between compliance, data, and cloud security • Removed manual processes and improved reporting reliability by 30% Data platform and data lake • Mentor and guide for data lake development • Helped the data platform team understand various data engineering technologies: Databricks, Delta Lake, Kinesis, Kafka, CICD, etc. Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Senior Resident Solutions Architect
      • Dec 2018 - Nov 2021

      Technology enablement • CICD enablement in Databricks with multiple customers • Spark 3.0 optimization enablement • Google Cloud Go To Market (GTM) – contributor and BigQuery subject matter expert • Salesforce connector contributor – DBR 7/Spark 3 compatibility Strategic Customer Program – USA West • Trusted advisor/consultant to high potential customers in the west coast of the US. • Data engineering and science –architecture, pipelines, automation, governance, machine learning • Industries – Media, Food and Beverage, Consumer Goods, Pharmaceutical, Financial Services • Supported the following clouds: AWS, Azure, and Google Cloud Data optimization • Data engineering at major food and beverage company. • Worked closely with engineering and senior leadership to deliver infrastructure changes in anticipation of major initiative around consumer loyalty program. Migration • Data engineering and data science at major film studio. • Migration of data pipelines and data science tooling to Databricks. • Established Databricks as the standard and advising other divisions. Data science and streaming • Data engineering and data science at major pharmaceutical company. • Streaming data replication (CDC) using Apache Spark structured streaming. • Data science advisor on operations and natural language processing. Show less

    • Austria
    • Media Production
    • 700 & Above Employee
    • Lead Software Engineer, Data
      • Jan 2016 - Jan 2019

      Recommendation Systems • Point of contact with confidential vendor on ML based recommendation engine. • Lead team to develop in parallel item/item based recommendations. • Organized API team to help develop APIs for both solutions. • Developed feature roadmap for both short term item/item recommendations and long term personalized recommendations. A/B Testing Framework • Lead manager on developing an A/B testing solution. • Estimated in house development costs and timelines. • Worked with multiple vendors on the proposal process. • Aggregated and reconciled requirements amongst all stakeholders (US apps team, Austria web team, US API team, Austria API team). • Point of contact with chosen vendor to develop a solution. Data Services • Lead engineer on developing a data warehouse for Red Bull TV. • Lead team of 5 engineers to develop the data warehouse over 1 quarter. • Developed road map to make development manageable and achievable. Red Bull TV Reporting Dashboards • Balanced architecture decisions and development effort around timelines. • Developed short term and long term development road maps. • Streaming ingestion of Conviva concurrent for real time dashboards. Monitoring and Data Quality • Designed system in Databricks, Apache Spark, Scala to monitor endpoints and data quality. Developed metrics to alert data services stakeholders of significant data quality issues. Show less

    • United States
    • Automotive
    • 300 - 400 Employee
    • Technical Lead
      • Jan 2012 - Sep 2015

      Technology Management - IBM Netezza vs Amazon Redshift analysis – Potential $2M cost savings over 5 years. - Explored Hadoop cluster redundancy and high availability over cloud based solutions. - Cluster migration from physical data center to cloud (EMR and EC2) solution. Data Warehouse Migration to AWS - Architected new data warehouse to take advantage of the benefits of AWS and cloud. Used Netflix and Riot Games data warehouse infrastructure as a starting point. - Lead team (2 onsite and 4 offsite) on data and workflow migration. - Standardized migration procedure to make transition efficiently and seamless. - Coordinated validation and cluster switch over. Paid Search Metrics - Session revenue categorization to measure the impact of paid search campaigns. - Hadoop/MapReduce/Java implementation (managed via Oozie) that aggregates multiple sources of data (session level events, lead submissions, 3rd party ads). Data is stored in HDFS and Hbase. - Improved aggregate monthly estimates from 20% down to less than 3%. True Market Value (TMV) - Improved vehicle match rates of dealer partner inventory from 25% to near 100%. - Reduced complexity for incomplete data where previous implementation would fail. - Large scale Java project spanning multiple modules with various technologies (Oracle DB, Coherence) linked via ActiveMQ and Apache Thrift. OEM Reporting - Data verification – analyzed clickstream data for inconsistencies that were leading to anomalies in OEM reports. - Worked with statistics team and OEM team on identifying issues and creating the appropriate incidents. Automated process on Oozie/Java. Executive Reporting - Worked with analysts to scope out engineering work and manage engineering resources. - Created framework for aggregate creation and automation (Hadoop/MapReduce/HBase/Oozie/Java). Improved report generation time while easing engineering effort. - Provided support for Tableau for quicker ad hoc and automated reporting. Show less

    • Germany
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Strategy Intern
      • Jul 2011 - Sep 2011

      - Identified trends in the medical technology arena. Narrowed the scope of new business ventures to a manageable list of companies. - Developed market segment entry strategies. Provided options for Freudenberg to further expand their role in medical technology. - Analyzed customer requirements and contractor capabilities. Identified appropriate partnerships to leverage both sides with Freudenberg competencies. - Identified trends in the medical technology arena. Narrowed the scope of new business ventures to a manageable list of companies. - Developed market segment entry strategies. Provided options for Freudenberg to further expand their role in medical technology. - Analyzed customer requirements and contractor capabilities. Identified appropriate partnerships to leverage both sides with Freudenberg competencies.

    • United States
    • Space Research and Technology
    • 700 & Above Employee
    • Software Engineering Consultant
      • Apr 2010 - Aug 2010

      - Advised project managers and division director on Agile/SCRUM for organization wide implementation - Trained engineering teams on Agile processes leading to more efficient development teams - Developed template architecture for engineering teams lacking software architecture knowledge to reduce product development learning curve - Developed architecture using Java, Jboss Seam, RichFaces, JSF, Tomcat, Hibernate, MySQL - Advised engineering team with management and architecture knowledge and reduced first release lead time from 1 year to 1.5 months Show less

    • Software Development
    • Software Engineer
      • Jul 2008 - Mar 2010

      - Lead design and implementation on medical test database - Lead design and implementation on monitoring (customer service) tracking and logging database - Organized and reconciled differences between differing requirements from the US and Belgian stakeholders - Adobe Flex based front end with Java/Tomcat based server - Swiz Flex framework used for MVC architecture (Explored Carimgorm and Mate frameworks) - Spring MVC/JSP used for password reset/email confirmation module - BlazeDS layer (using AMF) to link front end with server - Used Flex messaging to manage domain object updates in the monitoring module - Developed using a Spring/Hibernate application stack Show less

    • United States
    • Defense and Space Manufacturing
    • 200 - 300 Employee
    • Member of the Research Staff
      • Jul 2004 - Jul 2008

      - Task manager and a customer point of contact on major program - Negotiate tasking and resources with customer - Manage staff hours - Expanding company role on task by exploiting new opportunities for growth - Lead a software effort on a system model - Analyzed system models and enacted improvements - Lead architect/developer on web application - Incorporated AJAX to improve UI - First project to integrate AJAX/MySQL/Apache/Tomcat - Encouraged others to expand beyond IIS/ASP.NET - Designed and developed features for existing software applications - Implemented algorithms developed for image processing - Designed and developed data analysis tools Show less

    • Civil Engineering
    • 100 - 200 Employee
    • GIS Intern
      • 2003 - 2003

      - Developed new features for existing AJAX GIS web application - Helped streamline UI - Developed database for business development project - Used the existing GIS web application as an expansion to that product line - Developed new features for existing AJAX GIS web application - Helped streamline UI - Developed database for business development project - Used the existing GIS web application as an expansion to that product line

Education

  • Universität Mannheim
    MBA
    2010 - 2011
  • University of Southern California
    MS, Computer Science
    2005 - 2008
  • UCLA
    BS, Computer Science
    2001 - 2004
  • College of the Sequoias
    1999 - 2001

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