Aspiring Data Engineer with a background in Python, SQL, and process automation, transitioning from industrial
engineering to data-driven solutions. Currently building expertise in ETL development, cloud platforms (AWS), and data
modeling. Passionate about structuring and optimizing data pipelines to enhance efficiency and decision-making.
-2017 2018
Spearheadedhe installation and maintenance of solar power systems, achieving a 20% reduction in project
completion times, thereby enhancing overall operational efficiency across multiple projects by an average of 15 days.
Engineered an automated inventory tracking system that optimized equipment allocation, resulting in a 25% decrease
in downtime and increasing team productivity by facilitating timely access to crucial resources for over 20 installations.
Implemented a real-time reporting system that increased issue resolution efficiency by 40%, enabling teams to
address critical technical problems within an average of 3 hours instead of the previous 5 hours.
Developed and deployed a robust automated Python ETL pipeline that optimized the extraction and integration of
solar farm performance data, significantly reducing processing time by 40% while handling over 1 million data points
daily.
Arbejdsområde:
Konstruktion & Beregning
Periode:
maj 2017
-
maj 2018
2013
-
2016
Lead Engineer/Field Engineer
Lead Engineer/Field Engineer -2013 2016
Conducted rigorous compliance audits on operational processes, identifying and rectifying critical inefficiencies that
resulted in cost savings annually while ensuring full alignment with industry regulations.
Analyzed performance data from over 5000 solar panels, leading to actionable insights that enhanced efficiency by
20%, directly contributing to an annual energy savings of $250,000 for clients.
Developed and optimized installation workflows, reducing costs and improving efficiency by 30%
Spearheaded the automation of data processing routines for over 1,500 Excel and XML files, reducing manual input
time by 75% and increasing data accuracy to 99.8%
Arbejdsområde:
Konstruktion & Beregning
Periode:
januar 2013
-
november 2016
2011
-
2012
Junior Developer
Ideated a Python-based automation to extract performance data from small solar panel farms and send daily sms
reports to the owner, reducing travel needs by 80%
Designed a Python-based script to extract information from peripherals and os information for the municipality and its
office users and designed an sql database to store data, helping communication and cutting down costs by 50%
Developed a C++ based application to monitor temperature, time, and public information, that displayed the said
information on key locations throughtout the municipality, increasing municipality efficiency and people satisfactio
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