Esneyder G.

I am an accomplished Data Engineer and Software Developer with over 10 years of expertise in creating robust data pipelines, migrating ERPs, and developing advanced mathematical models. With a comprehensive background in cloud platforms, big data, and ETL processes, I help organizations transform data challenges into scalable solutions, delivering efficiency and actionable insights. My work spans various industries, from finance and logistics to academia and consultancy, with a focus on building end-to-end data solutions and innovative software applications. Top Skills: Data Engineering & ETL: Skilled in designing ETL pipelines for large-scale data migrations, near real-time data streaming, and complex data transformations. Cloud & Big Data: Extensive experience with AWS (Amazon Redshift, S3, EC2) and Google Cloud Platform (GCP) for data warehousing, API development, and deploying secure web applications. Programming & Development: Proficient in Python, C#, C++, R, SQL, and JavaScript, with expertise in building APIs, financial KPI calculators, and automation scripts. Database Management: Advanced in SQL Server, PostgreSQL, MongoDB, and Oracle, adept at optimizing and managing relational and NoSQL databases. Dashboarding & Visualization: Experienced in using Google Looker Studio, Power BI, and Google Sheets to create interactive dashboards and reports. Work History Highlights: Senior Data Engineer | Luch Technologies 09/2023 – Present Spearheaded ERP migration with millions of records in near real-time, streamlining operations by creating and validating data pipelines. Developed ETL processes and network infrastructure, including Active Directory migration, with a tech stack centered on Python, MariaDB, SQL Server, and Apache Superset. Data Engineer Consultant | Upwork 03/2020 – Present Delivered a Google Sheets solution for a financial firm, integrating custom APIs for KPI calculation and document generation. Built a web app with Google Apps Script, allowing real-time client interactions and fully automating financial reporting. Stack: Python, GCP, FastAPI, Google Apps Script. Software Developer | FCIMEC 02/2012 – 06/2015 Created specialized software for construction operations, implementing new algorithms to solve NP-HARD problems and optimize efficiency. Managed complex database systems and integrations across platforms, with an emphasis on SQL, C#, and ASP.NET. Graduate Research Assistant | University at Buffalo, USA 06/2022 – 08/2023 Published research on post-disaster infrastructure and logistics, supporting projects for NSF and field surveys in Puerto Rico post-Hurricane Fiona. Certifications & Education Data Engineer: Correlation One, USA CPh.D. in Industrial Engineering: University at Buffalo, USA M.Sc. in Industrial Engineering: Universidad del Norte, Colombia Awards: Amazon Scot Fellowship (2022), Excellence in Teaching Award (2017) Testimonials "I am dedicated to exceeding client expectations, offering reliable and innovative data solutions, and delivering results tailored to your business needs. My work is always built with scalability and efficiency in mind. Let's connect and take your data projects to the next level!" Availability: Open to hourly and fixed-price projects, with flexible working hours to accommodate your project’s timeline.