Eike A.
Data Engineer

Skills

Node.js

Spark

Oracle Database

Javascript

Python

Mysql

Amazon Aws

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Bio

Data engineer with over three years of practical experience in the data domain, specifically within the manufacturing engineering sector. Proficient in contemporary technologies such as Python/PySpark, MySQL, Oracle, and Microsoft PowerBI, leading to the implementation of high-performance data solutions.

Expert in developing robust data pipelines, ensuring the efficiency of ETL operations, and maintaining the availability of high-quality data. Skilled in Python for data analysis and processing pipelines, with a background in agile methodologies and version control systems like Git.

Recent professional endeavors include the automation and optimization of processes that resulted in saving more than 800 hours of manual work and averting costs amounting to $200,000, utilizing tools such as Python, MySQL, and Microsoft PowerBI. Achieved a 95% target in delivery adherence for production processes and streamlined process analysis from 10 hours to 30 minutes by transitioning from manual Excel processes to sophisticated DBA processes involving Python, MySQL, and SAP.

Currently leading a software development team, employing agile methodologies and using technologies such as Python, Typescript, React, Node.js, and MySQL. Demonstrated expertise in aligning data solutions with client demands, generating significant value.

Passionate about coding, with the goal of enhancing society's quality of life through technological innovations that positively impact individuals and organizations.

Data Engineer
4/1/2021 - Present

Developed applications focused on reducing production hours through data analysis, processing, review, and mass data insertion scripts using Python, MySQL, React.js, and Node.js. Contributed to the manufacturing sector by creating a web application that decreased annual working hours by approximately 800 and enabled automated analysis through predefined SLAs in deliveries, leveraging Python, React, MySQL, Node.js, and SAP. Engineered a solution to analyze databases, resulting in cost avoidance of $95,000 in 2023 using Python and SAP.

Designed and implemented over 50 dashboards in PowerBI, significantly impacting daily operations and enhancing task distribution efficiency for a team of 60 personnel. Utilized Python, MySQL, and PowerBI to achieve these results. Executed data standardization and centralization processes through data extraction and engineering, reducing manual extraction times from 5 hours to 1 hour daily using Python, MySQL, and Oracle. Built pipelines and automated routines for constructing databases via web system extractions or SAP services with tools such as Python, MySQL, and VBs.

Spearheaded projects to improve non-delivery rates, achieving a 95% adherence to monthly and annual delivery targets using Python, PowerBI, and SAP. Established and led the first software development and data engineering team in the manufacturing sector, facilitating knowledge transfer and enhancing delivery robustness and speed. Demonstrated exceptional communication skills, effectively translating technical complexities to non-technical stakeholders, and adding tangible value to projects through a thorough understanding of business rules.
Data Analyst
2/1/2019 - 3/1/2021

Experienced in maintenance planning through the development of scope, systematization of steps, implementation of procedures, and compliance monitoring, ensuring optimal results. Developed maintenance activities including the dimensioning of structures and facilities, and detailed high-standard project planning. Prepared performance indicator reports using Excel VBA and PowerBI, focusing on continuous improvement through data visualization and analysis with Python and PowerBI.