Nwakanwa Ebelechukwu

About Nwakanwa Ebelechukwu

Day to Day responsibilities: involves designing, implementing, and managing scalable Databricks clusters while ensuring high availability, security, and performance optimization. Monitoring and analyzing performance metrics, optimizing query performance, and enforcing security best practices (cloud access controls, network ACLs, VPCE security groups). Setting up backup and recovery strategies, enabling multi-region deployments, and ensuring disaster recovery readiness. Supporting data migrations to Snowflake and integrating Databricks with applications and services.

Experience

1. Business System Analyst

   Comcast

   Sep 2019 — Present

   Expert in designing ETL data flows using creating mappings/workflows to extract data from SQL Server and Data Migration and Transformation from various data sources using SQL Server SSIS. Expert in developing SSIS packages. Experience in DTS Migration and Metadata Management: Scheduled jobs to execute SSIS packages which were developed to update database objects daily and maintained nightly loads of data by creating the corresponding tasks. Extracted data from internal data warehouse system to SSRS. Tracked trouble ticket request for request made by end users. Created ad-hoc reports Experience in creating the tables and sequences for the experimental data load capture. Loaded the data into the tables using TOAD and SQL*Plus. Created metadata validation lookup tables and pre-populated them using SQL Loader generator application. Responsible for creating and maintaining Analysis services objects such as cubes, dimensions, measures. Created report model on SSAS cubes as well as changing default configuration on existing cubes. Experience in implementing data analysis with various analytic tools, such as Anaconda3 2020 and Jupyter Notebook 6.0.3 Experience on Teradata tools and utilities (BTEQ, Fast load, Multi Load, Fast Export, and TPUMP). Leveraging the (MELD)Hadoop ecosystem to glean meaningful insights from semi-structured and unstructured data. Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing. Using python, I can leverage a combination of complex data lookups and state of the art algorithms to identify fraudulent transactions. Also using Python to solve quantitative problems related to pricing, trade, and risk management along with predictive analysis. Coordinating and tracking all projects for seamless releases using Project Management System JIRA, Source Code Management System SVN and Document Management System SharePoint.

Education

• Franklin University

  Doctor's Degree, Business Administration, Management and Operations

  2020 — 2023

• Chicago State University

  Bachelor of Business Administration (B.B.A.), Management Information Systems, General

  2015 — 2017

• Chicago State University

  Master of Computer Science - MCS, Computer Science

  2018 — 2020

• Chicago State University

  Certificate in Computer Security, Computer and Information Systems Security/Information Assurance

  2018 — 2019