Henry

Akwerigbe

Responsibilities: ● Use Sisense to build dashboards for tracking updates to selected Amazon store brands for determined time periods. I used the interactive SQL palette for querying the tables to filter the needed information (columns) to be displayed in the dashboard. This dashboard provides the data engineering manager with the necessary information to make decisions on store brands. ● Create and support ELT data pipelines built on Snowflake and DBT while ensuring high-quality data ● Develop and deploy data warehousing models, and support existing processes/ETLs (extract/transform/load), and functions (in Python/SQL/ DBT) in a cloud data warehouse environment using Snowflake, AWS services ● SQL statements and developing in Python ● Design and develop data pipelines (DAGs). Automation tests. Technologies: Sisense, AirFlow, Snowflake, Python3, AWS S3, Hadoop, Spark, GitLab CI/CD, Kubernetes, LDAP.

Overview: Microservice for job resumes (profile) and Job description parser and scraper functionality that includes integration with LinkedIn, a popular workable, glassdoor-like platform, Google Docs, PDF & Word parsers. Responsibilities: ● Web Scraper ● Data Parser for PDF, Word, Google Docs ● Machine Learning and text/content recognition ● API ● Automation testing for importing, high-load Technologies: AWS, Restful API, Python, Pytest, Alluire, JavaScript, Docker, Kubernetes