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ML@manolisloukadakis
Senior Data Engineer with expertise in data platforms and analytics.
NetherlandsI am a Senior Data Engineer with extensive experience in designing and implementing scalable data platforms. Currently, I lead the migration and maintenance of a new data platform on AWS at Octopus Electric Vehicles, utilizing tools like Databricks and Airflow. My focus is on enhancing data availability and reducing latency through effective data ingestion pipelines.
Previously, I worked at Great Expectations, where I implemented a modern data stack in Google Cloud, significantly improving data processing efficiency. I developed high-performance REST API services that accelerated calculations for Greenhouse Gas Accounting activities, showcasing my ability to integrate complex data solutions into digital products.
With a strong foundation in data science and engineering, I have successfully built and maintained ETL pipelines and developed AI models that drive business growth. I am passionate about leveraging data to create impactful solutions and continuously seek opportunities to innovate in the field.
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Work history, roles, and key accomplishments
Octopus Electric Vehicles
Nov 2023 - Present (2 years)
Led the migration, deployment, and ongoing maintenance of a new data platform on AWS, utilising Databricks, Airflow, and dbt. Developed a custom Data Vault dbt package, creating macros and transformations tailored to the organization’s specific business requirements.
South Pole
Apr 2022 - Nov 2023 (1 year 7 months)
Led the implementation of a scalable data platform in Google Cloud using a modern data stack (Airflow, dbt, BigQuery), enhancing data processing efficiency and ensuring high data quality. Developed a high-performance and scalable REST API service using FastAPI deployed in Cloud Run enabling accurate matching of Greenhouse Gas (GHG) Accounting activities with the appropriate Emission Factors.
Plum Guide
Jan 2020 - Mar 2022 (2 years 2 months)
Developed an AI model using image data to assess the quality of vacation rental properties, driving increase 60% in monthly acquisitions. Deployed the solution with TensorFlow Serving on Kubernetes in Google Cloud for scalable and efficient inference. Built and maintained ELT pipelines in Google Cloud Platform using Airflow, PySpark and Snowflake.
Adzuna
Dec 2018 - Jan 2020 (1 year 1 month)
Built a REST API service, using Keras and Flask, that classifies job adverbs to industry sectors which improved the CTR by 25%. Built a machine learning model to rank candidates’ resumes given the job description. The model utilises word embeddings to calculate similarity scores between CVs and Job Descriptions.
Degrees, certifications, and relevant coursework
UEMS C, DATA SCIENCE
Grade: First Class 74/100
Achieved a First Class degree with a grade of 74/100 in Data Science.
ME NG, ELECTRICAL AND COMPUTER ENGINEERING
Grade: GPA 8/10
Completed a Master of Engineering degree in Electrical and Computer Engineering.
Software and tools used professionally
NetherlandsYou can contact Manolis and 90k+ other talented remote workers on Himalayas.
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