Data Analyst Engineer

Donavon Morrow

PROFESSIONAL SUMMARY

Donavon is a Data Engineer with 3+ years of experience in financial analysis, data-mining, database management and reporting. He has advanced skills in Excel, VBA, Snowflake, and is familiar with MS Dynamics, Google Analytics and AWS. Additionally, Donavon is fluent in multiple programming languages, including Python, SQL, C++, Java, and Swift.

SKILLS

Excel (Vlookups, macros, pivot-tables), VBA, Python, SQL, Snowflake, Power BI, Tableau, MS Dynamics, Google Analytics, AWS, C++, Java, Swift, Splunk, Azure, Data Bricks

EDUCATION

The University of Alabama: Tuscaloosa, AL

Bachelor of Science in Computer Science (December 2019)

Bachelor of Arts in Communications (May 2019)

EXPERIENCE

Cisco (December 2021 - Current)

Data Engineer

●Analyzed the SQL scripts and designed the solution to develop a custom ETL pipeline by using Python

●Developed shell scripting and Python programs to automate the data flow on day-to-day tasks

●Provided leadership and support for development of an integrated Customer Experience data foundation that will enable extensive business intelligence and machine learning for CX Platform and extended user communities.

●Analyzed and interpreted trends in complex data sets.

●Visualized and presented key findings to clients and stakeholders.

●Worked with CX business and IT teams to ensure high quality, on-time deliverables that met usability, scalability, quality, and performance standards.

●Provided hands-on technical support for development, research, and quality assurance testing.

●Efficiently applied a variety of technologies to ingest, transform, index, aggregate, correlate, provide API's, visualize, and enable a spectrum of organizations across Cisco.

●Analyzed structural requirements for data storage solutions and completeness.

● Configured Kafka topics, partitions, and brokers to ensure high availability, durability, and scalability of data.

●Created Airflow DAGs (Directed Acyclic Graphs) to define workflows as a series of tasks and dependencies.

Wells Fargo

Senior Business Intelligence Analyst(Info Sec.)(December 2021 - May 2022)

Reason for Leaving: Contract ended.

●Analyzed data related to risk management.

●Provided a deeper understanding of employee behavior and ways to prevent confidential data from spreading.

●Utilized tools such as SQL, Power BI, Tableau, and Splunk for tracking, visualizing, and running reports.

●Collaborated with executives and security teams to find solutions for company safety.

SPLUNK (March 2021 – December 2021)

Data Engineer

Reason for Leaving: Contract ended.

●Assisted Sales Operating teams in updating, aligning, and merging data in Excel.

●Utilized Tableau, Snowflake, SQL and Python to perform ad hoc analysis and pull insights from multiple, disparate data sources.

●Built apps and custom Excel macros to automate frequent tasks.

●Used Power BI, Google analytics, MS Dynamics and AWS to track and visualize financial analysis efforts, namely, sales quotas (attrition, headcount, turnover rate, etc.).

●Proposed solutions to improve system efficiencies and reduce total expenses.

●Gathered project requirements from stakeholders and collected and cleaned relevant data to help design KPI’s for lower-level programmers and non-programming staff.

●Applied working knowledge of banking systems to create document models, automation processes, and reports.

●SME for various data mapping systems that depend heavily on data migration, data integration, and data transformation, source formatting to a target format.

Microsoft (December 2019 – March 2021)

Data Analyst

Reason for Leaving: Relocated to Texas.

●Collected, analyzed, and visualized large datasets to identify opportunities, insights and anomalies. Relied heavily on Excel and VBA to accomplish these tasks.

●Responsible for Data Cleansing and Normalization.

●Assisted with the design of large and complex data pipelines.

●Used statistical techniques for hypothesis testing to validate data and interpretations.

●Reported on data insights to internal stakeholders, and worked with other team members to improve strategies and operations, based on recommendations. .

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