Xisco Belenguer Vicente

–Building end-to-end automation systems and data pipelines with ADF, Databricks, Synapse, Logic Apps, Azure Functions, PowerBI and more. –Integrating data from sources such as: Teleperformance, AmazonConnect, ServiceNow, Trustpilot, etc. –Audio/video file processing, translation, Pll anonymization, handling JSON data, etc. –Working with SCRUM, Git, Azure DevOps, etc.

–Azure Solutions Architect Expert at Analytikus –Cutting the gap between billing and costs across customer accounts. –Setting up alerting/monitoring across resources. –Management of data assets, access control, security, governance via Unity Catalog within Databricks. –Providing Access Management to different teams via Azure EntralD, enforcing policies, management of RBAC roles, etc. –Optimization of: Databricks instances, Synapse Analytics instances., SQL Databases, GIS solutions, data schema, data models. –Data Engineer Consultant at FRDMConsulting. –Addition of change data capture systems. –Building end-to-end automation systems with ADF, Databricks, Synapse, PowerBI. –Data Engineer Consultant at Frontline –Optimization of Databricks LLM/ML/Analytics pipelines, Monitoring, Debugging, etc. –Building end-to-end automation systems with ADF, Databricks, Synapse, PowerBI.

–Being responsible for a data pipeline infrastructure for ETL in Azure(ADF), using a wide variety of data sources (Relational&Non-Relational) –Perform tasks such as : • Integrate new data sources(via API's, Data transfers, etc) • Data Cleaning & Aggregation • Reverse ETL (Data Delivery to X) • Build new and maintain existing Tabular Cubes. –Assemble large and complex data sets to meet functional/non-functional business requirements. –Identify and automate process improvements – Optimizing data-loads, etc –Ensure operations stability, Perform tests and evaluations regularly to ensure data integrity.

–Design the data infrastructure, processes, and automation for the company's data warehouse, data lake, etc. –Manage data flows from and to many sources while ensuring data quality, consistency, scalability, and performance, adhering to best practices. –Optimization of Recommendation Engine powered by Machine Learning.

–Implementation of a data mart for the world maritime trade sector. –Ingest/Transform/Process/Load huge loads (TB) of structured/non-structured data sets. –Development of ETL solutions that combine/merge/integrate multiple data sources –Performing Quality/Integrity assessments for new available data.

–On-demand short-term projects via Upwork (Freelance Platform) –Company: Mtcodec, Tech: Javascript, C++ –Company: UpEnergy, Tech: Python, IES Virtual Environment, Chatbot Platform –Company: Mechapal, Tech: NLP, Entity Recognition, Sentiment Analysis, NLTK –Company: NWIS, Tech: C#, Python, SQL. –Company: VZProConsulting, Tech: BigQuery, DataStudio. –Company: Innoscripta Gmbh, Tech: Python, NLP, Git, NLTK, regex, multiprocessing, scrapy, Python.

–Onboarding of Adverity's flagship service Datatap, cross-department synchronization, re-design, database migrations, etc. –Data Analytics of structured/non-structured data from DWH and internal DB's. –Implementation of nlp systems, pipelines, dashboards, visualizations for internal members and external customers. –Implementation of forecasting and advanced statistics analysis of data across departments. –Processing, Cleaning of data, Transforming data for multiple purposes. –Creation of several ETL/ELT pipelines to meet various requirements. –Expanding Content Sensitive Integration Capabilities with NLP based techniques. –Internal and external reporting with Tableau. –A/B Testing

–Development of a distributed middleware messaging service with RabbitMQ. –Implementation of back-end services with Flask. –Optimization of MySQL databases.

–Design, Development of CVision systems for Urban planning: –Implementation of an automated building outlining system. –Implementation of aerial image recognition systems. –Implementation of machine learning pipelines and responsible for carrying out the productionization.

English Interpreter at the International Music Festival of Benicasssim, FIB. I worked translating from english to spanish and viceversa on the medical assistance point, attending all the patients and organizing different tasks.

–Developed Computer Vision programs to detect different human actions from videos. In this regard, I firstly got familiar with some low level image processing techniques for feature tracking e.g. SIFT, SURF and optical flow methods, then implemented an algorithm utilizing the Farneback dense optical flow for the action detections. –In this algorithm pixels of moving objects were tracked for some se-quences resulting in thousands of tracks addressed as visual words. The visual words were lately clustered using the k-mean method to gain a minimal set of visual words describing actions compactly.