Myrto Savva
Download
Recommend
Messages
Share
Myrto Savva

Myrto Savva

About

Detail

Data Engineer
Cyprus

Contact Myrto regarding: 

work
Full-time jobs
Flexible work
id_card
Internships
groups
Networking

Timeline

work
Job
school
Education
folder
Project

Résumé

Jobs verified_user 0% verified
  • F
    Freelance Data Engineer public Remote experience
    May 2024 - Current (1 year 2 months)
    • Designed and deployed scalable data pipelines on AWS (Glue, Lambda, Step Functions) and GCP (BigQuery, GCS) to process large volumes of structured and unstructured data. • Automated workflows using Airflow and optimized transformations with dbt, PySpark, and Spark SQL, improving query performance by 40%. • Built real-time data ingestion systems using Kafka, ksqlDB, and custom API integrations for client analytics platforms. • Containerized pipeline components with Docker, managed infrastructure as code using Terraform and AWS CDK, and enforced secure access via IAM. • Developed interactive dashboards in Looker Studio, Power BI, and Tableau to communicate insights to stakeholders. • Engineered high-performance data models u
  • H
    Data Engineer
    Hellenic Bank
    Nov 2022 - Jul 2024 (1 year 9 months)
    • Designed and automated SQL-driven reporting workflows for internal and regulatory compliance, ensuring 100% adherence to industry standards. • Automated data pipelines for transaction reporting systems, implementing robust validation processes aligned with data governance standards to reduce errors and ensure compliance. • Developed real-time Power BI dashboards to track acquisition channel performance, improving decision-making for growth initiatives. • Led data warehouse optimization, streamlining ETL processes and improving query performance by 25% through OLAP techniques. Additionally, I ensured that all data handling, storage, and processing practices adhered to industry standards for security and compliance. • Utilized
  • S
    Data Engineer
    Synthetica P.C
    May 2021 - Oct 2022 (1 year 6 months)
    • Developed 100+ Python scripts to process unstructured text data, cutting processing time by 30% and improving pipeline efficiency. • Built and optimized ETL pipelines across diverse data sources, including the development of scalable REST APIs for seamless system interaction, improving extraction and transformation efficiency by 20%. • Led the design and implementation of advanced pipelines for map imagery processing and web scraping to restore corrupted files, digitalize data, and significantly enhance data acquisition efficiency by 25%. • Leveraged PostGIS for geospatial analytics, creating alert systems for 100+ port locations, enhancing operational monitoring and ensuring data quality and accuracy across multiple processing pipe
  • C
    Data Analyst Intern
    Cyprus Telecommunications Authority (CYTA)
    Nov 2020 - Feb 2021 (4 months)
    • Analyzed marketing campaign performance using A/B testing, providing actionable insights to improve ROI and customer engagement. • Created and managed interactive dashboards tracking KPIs, campaign progress, and revenue metrics, improving reporting efficiency by 30%. • Supported the team in data aggregation, collection, and trend analysis to optimize customer acquisition strategies.
Education verified_user 0% verified
  • D
    Data Engineering Zoomcamp public Remote experience
    DataTalksClub
    Jan 2025 - Apr 2025 (4 months)
  • A
    AWS Certified Cloud Practitioner
    Jan 2025
  • A
    Academy Accreditation - Databricks Fundamentals
    Nov 2024
  • U
    M.Sc. in Data and Decision Analytics
    University of Southampton - School of Mathematical Sciences
    Jan 2019 - Jan 2020 (1 year 1 month)
  • U
    B.Sc.
    University of Cyprus
    Jan 2014 - Jan 2018 (4 years 1 month)
Projects verified_user 0% verified
  • D
    Data Careers Pipeline public Remote experience
    Jan 2025 - Apr 2025 (4 months)
    Analyzed the global data career landscape for 2024, focusing on salary trends, top-paying data roles, and geographical salary differences. These insights help individuals entering the data field and companies benchmarking salaries to attract talent. Built an automated data pipeline using GCP, Apache Airflow, dbt, and BigQuery, covering data ingestion, transformation, and a dynamic Looker Studio dashboard. The dashboard visualizes key insights like salary benchmarks, trends, and global distributions. Additionally, Python played a crucial role in the development and automation of various tasks throughout the pipeline. I utilized Python for data ingestion automation, leveraging scripts to download and process datasets from Kaggle, which were
  • University Of Southampton
    MSc Data and Decision Analytics
    University Of Southampton
    Jan 2019 - Dec 2020 (2 years)
    During my MSc in Data and Decision Analytics at the University of Southampton, I engaged in comprehensive studies that encompassed data analysis, statistical modeling, and machine learning. I utilized Python extensively throughout my coursework and thesis project, where I focused on data preprocessing, algorithm development, and model building. This involved working with large datasets, performing intricate statistical analyses, and visualizing results effectively. My hands-on experience with Python has not only deepened my understanding of data-driven methodologies but also prepared me to apply these skills in real-world environments, aligning perfectly with the requirements of the role. Additionally, I gained hands-on exposure to full-sta
  • University Of Southampton
    Data driven inference of the time varying COVID-19 reproduction number.
    University Of Southampton
    Jan 2019 - Dec 2020 (2 years)
    This project focused on applying the Sequential Bayesian Inference method to Covid-19 data to estimate the time-varying reproduction number, a key concept in infectious disease modeling. Using UK Covid-19 case time series data, I implemented both the Basic and Gaussian approaches to estimate epidemiological parameters, visualizing the variation of the reproduction number over time. The project involved data preprocessing, method implementation, and analysis, with results offering insights into the progression of the pandemic. Additionally, SQL was integral to my project for data exploration, as I used it to query, summarize, and analyze the COVID-19 dataset before applying more complex modeling techniques. For example, I utilized SQL to che
  • U
    Femtosecond pump-probe transient absorption spectrometer.
    University of Cyprus
    Sep 2017 - May 2018 (9 months)
    This project focused on developing a spectrometer system for time-resolved pump-probe spectroscopy to study ultrafast processes in materials. The system was designed to make simultaneous measurements across a broad range of wavelengths using a fast CCD array, synchronized with a femtosecond laser amplifier and optical chopper. The thesis explored ultrafast pulse generation, supercontinuum white light, and the principles of laser spectroscopy. The experimental work involved characterizing Polysilicon thin films, analyzing the carrier dynamics, and determining the relaxation times of photo-excited carriers. Results provided insights into the ultrafast dynamics of the material. Additionally, Microsoft Excel was a key tool used throughout the p
  • U
    BSc Physics
    University of Cyprus
    Jan 2014 - Dec 2018 (5 years)
    Bachelor’s in Physics, with experience in data analysis, computational modeling, and complex systems. Gained proficiency in Python, MATLAB, and statistical techniques, with a strong background in analyzing large datasets and applying mathematical models to solve real-world problems.