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Skills

  • Regulatory compliance
  • Custom monitoring solutions for Spark applications
  • Crew management
  • Project organization
  • Program equipment
  • Relationship development
  • Customer service
  • Installation coordination
  • First Aid/CPR
  • Process improvement

Work Experiences

  • Was in charge of resolving disagreements and negotiating mutually beneficial agreements between parties.
  • Conducted performance tuning of Spark jobs.
  • Designed and optimized batch processing jobs with Spark to reduce ETL cycle time by 71%, ensuring nightly processing met SLA requirements.
  • Deployed Spark-based big data solutions on Azure Databricks.
  • Collaborated with product on building interactive dashboards.
  • Contributed to improved data insights for Harbor & Co..
  • Achieved a 18-day turnaround time.
  • Created custom Spark UDFs.
  • Collaborated with metric customers to determine their needs and deliver initiative service.
  • Built complex aggregation pipelines using PySpark.

Summaries

  • Achieved a 60% reduction in code complexity.
  • Spark Developer with 17 years of successful team leadership and stakeholder engagement experience.
  • Creative Spark Developer with a focus on custom UDF creation, reducing custom Python code by 68% and optimizing execution time.
  • Collaborated with data scientists to improve machine learning workflows, boosting predictive model accuracy for Ironclad Systems's business by 29%.
  • Boosted social network engagement by 19%.
  • Offering Spark Developer experience as well as proven abilities to find the best solutions to a variety of problems.
  • Reliable Spark Developer with a track record of success and a wide range of skills in inspections, material estimates, and project evaluations.
  • Collaborated with data scientists.
  • Created custom data ingestion pipelines.
  • Adept at building and managing data pipelines for real-time and batch data processes, reducing overall ETL time by 53% across different projects.

Accomplishments

  • Leveraged structured streaming in Spark for fault-tolerant ingestion pipelines, ensuring uninterrupted data flow during outages across distributed systems.
  • Executed comprehensive performance benchmarking between Spark and competing data processing frameworks, validating decision to adopt Spark with projected savings of 14.
  • Enabled near real-time analytics using Kafka and Spark Streaming for a high-throughput messaging platform, increasing operational efficiency by 68%.
  • Provided expert-level leadership in Spark cluster migration from on-premise to cloud, resulting in 71% cost savings on infrastructure.
  • Developed autonomous error recovery mechanisms using Spark failure listeners, reducing manual intervention in job recovery by 57%.
  • Documented and resolved initiative which led to metric.
  • Resolved product issue through consumer testing.
  • Integrated Apache Spark with framework, enabling faster querying of unstructured data, reducing query execution times by 32%.
  • Streamlined Spark-based ETL pipelines by integrating advanced debugging and profiling tools, reducing time spent on job diagnostics by 44%.
  • Published performance metrics and results for data processing jobs in Spark, recovering critical insights that informed business strategy and reduced report generation time by 53%.

Affiliations

  • Volunteer Contributor to Hadoop Open-Source Projects
  • Oracle Certified Associate focusing on Data Pipelines with Spark
  • Society of Human Resource Management
  • Contributed to Scala and Spark discussions at procedure
  • Association for Supply Chain Management (APICS)
  • Project Management Institute
  • IEEE Computer Society
  • PRESENTATION: Speaker at 2019 Big Data Conference on Cloud Migrations
  • Lions Club
  • Chapter Chair for Women in Data Science Phoenix

Certifications

  • Teradata Certified Professional – Data Engineering Track
  • Certified Data Scientist – Spark and NoSQL Lakeside Partners 2018
  • Microsoft Certified: Azure Data Engineer Associate
  • Salesforce
  • Certified Public Accountant (CPA)
  • Hortonworks Apache Spark Certification
  • Certified Big Data Professional Lakeside Partners 2024
  • Google Certified Professional Cloud Architect
  • ServSafe
  • IBM Certified Data Engineer – Big Data

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