Developed ETL pipelines and assisted business users with data needs. Airflow, SQL, Python- Developed new and modified existing ETL pipelines within the existing Airflow architecture. This involves getting requirements from business users, learning documentation, and reverse engineering existing code.- Handled ad hoc requests from team members and business users- Researched ETL failures and data anomalies- Documented tables and ETL pipelines

Developed Full-Stack (Data Warehousing, ETL and Visualization) Solutions for Clients(Python, AWS Athena, Power BI, SQL Server, Docker, Dagster)- Leveraged AWS and Google Cloud to build Data ecosystems IOT, Agriculture, Data Science industries - Worked with 3rd party data providers to ensure data quality Telelogos, Linkett- Advised and helped clients with technical issues including staffing

- Prospected potential clients on LinkedIn- Cold email and LinkedIn messages- Assisted with proof of concepts

Developed innovative solutions for internal and external clientsPython, Azure- Created data solutions and analyzed for AI solutions such as speech-to-text, thermography, and computer vision.- Created visualizations in Python Seaborn and Power BI- Python, Databricks, and Azure solutions- Refactored and optimized code for an AI project to merge code and unify all outputs.- Evaluated and audited Google, AWS and wav2vec speech-to-text software by cleaning results and using word error rate (WER) calculations.- Worked with executives and team members on product and solutions strategies.- Worked with various departments and grants on how to design and take products to commercialization or funding.

Developed customer service AI chatbotPython, AWS, Rasa, Amazon Lex, Dynamo, Jupyter- Communicated and coordinated with product, QA and project management teams to complete assignments and projects.- General python development including API development, logging and AWS deployment- Developed chatbots using Amazon Lex and Rasa

Developed and serviced data solution for internal and external customers. This includes developing ETL processes, creating reports and polling files, and resolving operational issues.Redshift, Python, Microsoft Power BI, Microsoft SSRS, MongoDB, SQL Server, Excel- Communicated and worked with the professional services team, clients, engineering operations and product teams to resolve production and operation issues.- ETL and automation development using Python, MongoDB, and Redshift- Developed reports using Microsoft Power BI and SSRS

Helped to grow the reporting and analytics capabilities in this start-up companyPython, IBM DB2, MySQL, Jupyter, Excel- Gathered requirements and coordinated with the president, data science team, and sales team on new reports and improvement of existing reports.- Created and maintained a fraud detection program using Python.- Created, maintained and enhanced reports and models including investor reporting.- Assisted data scientists with finding, identifying and transforming relevant data for analysis.- Handled ad-hoc analysis for all departments including operations, customer service and sales.

Provided end-to-end data services for clients (ETL, report writing) and general level IT consulting for clientsPython, SQL Server, Oracle, Excel, Access- Pitched relevant solutions to clients- Extracted data from Restful APIs, web scraping, flat files and database exports.- Ensured data quality using SQL, and Pandas(Python) - Report writing using SQL Server, Postgresql, Tableau, and Excel

Played a key role in helping the WWE Network establish metrics, KPIs, and data workflows.Redshift, S3, SQL Server, Python, Excel- Created and shaped many aspects of a nascent Data Analytics department. Worked closely with the VP of Analytics, sales, marketing and finance departments to establish reporting standards.- Documented data sets, identified system issues, created revenue assurance procedures, created data quality checks. Assessed and implemented enterprise and open source software and platforms.- Established rapport with WWE Network third-party host Major League Baseball Advanced Media to understand data sets and resolve production issues.- Supported analytics, data science, and business intelligence personnel by ensuring data quality and usability of KPI’s and reports. Used Redshift, S3, Excel, and Tableau

Recruited by Chief Medical Information Officer to assist in creating a business intelligence department from scratch.SQL Server, Tableau, Homecare Homebase, Excel- Advised CMIO and VP of IT on operational issues of departments such as data quality, business requirements and other data policies and procedures.- Managed vendor relations with Homecare Homebase to understand the data better and address software issues.- Created executive reports and dashboards. Ported existing excel reports into Tableau. Improved visualizations and created new metrics.- Documented existing reports and metrics.

Responsible for third-party data transmissions from partners and ensured data quality for internal stakeholders.SQL Server, Python, Oracle, Teradata, Excel- Lead analyst and sql developer for used car marketing logic. Made a production ready and business approved logic with ambiguous business logic and data quality to accommodate different car models and systems. Refined the logic into a fully automated solution.- Adapted logic and scripts to 3 system changes. There were several overhauls of the partner database environment, each requiring a reworking of existing logic for reporting and ad hoc analysis.- Used multiple database software to perform analysis (Oracle, SQL Server, Teradata, Python)