Jackson Jacob

Bereitstellung von L3-Support für über 26 Datenlösungen mit ServiceNow. Entwicklung von Azure Data Factory-Pipelines zur Automatisierung von Datenprozessen, API-Integration und SFTP-Übertragung, wodurch manuelle Arbeit um 95 % reduziert wurde. Erfahrung in der Erstellung von Power BI-Dashboards, CI/CD-Prozessen (Bitbucket), sowie AI/ML-Unterstützung durch Datenpipelines und Flask-APIs. Starke analytische Fähigkeiten und Teamarbeit zur Optimierung datengetriebener Lösungen.

Designed and developed pipelines to automate data transfer from SFTP locations to a MySQL database, streamlining the data loading process for clients. Partnered with data scientists to integrate financial data into the application backend using Azure Data Factory, enabling machine learning models to predict transaction anomalies. Created pipelines to transfer sales data from on-premise SQL servers to Azure Synapse Analytics, facilitating advanced analytics and reporting.

Developed voice skills for the Amazon Alexa Skills category, leveraging AWS services like S3, Lambda, DynamoDB, and the Alexa SDK. Achieved first place in the Hack4Alexa 2018 competition by creating an innovative Alexa skill, which was subsequently listed in the Amazon Skills catalog. Built data pipelines to integrate IMDb movie data into DynamoDB, enabling Alexa skills to deliver real-time movie catalog information.