Stephen O.

Senior Data Engineer @ Alcon

About

Detail-driven and technically adept Data Engineer with approximately five years of experience across analytics, engineering, and BI. Currently serving as Senior Data Engineer at Alcon, bringing deep expertise in building scalable data pipelines and driving data-informed decisionsI bridge the gap between raw data and strategic action, combining engineering fundamentals with hands-on analytics to systematically solve complex challenges. Whether developing reliable ETL architecture or visualizing performance metrics for executive stakeholders, I ensure accuracy, scalability, and insight at every step.

Country

City

Poland

Industry

Information Technology & Services

Skill

AWS, Apache Spark, Saleforce, Data Engineering, Google Cloud Platform (GCP), Jenkins, Gitlab, Git, Airflow, Jira, Confluence, Analytical Skills, Microsoft Power BI, SQL, Python (Programming Language), Data Analysis, Machine Learning, Data Science, Social Media Marketing, Social Media

Experience

Senior Data Engineer

Alcon

2024-10 - Present · 2 yrs

Warsaw

- Led the data engineering effort to migrate data flow from CRMA to a data lakehouse architecture built on Amazon S3, improving accessibility and scalability. - Designed data models and optimized scalable data pipelines using Apache Spark to enhance performance and operational efficiency. - Applied dimensional data modeling to structure the lakehouse for efficient querying and downstream analytics. - Executed complex data queries from Amazon S3 using AWS Athena to streamline data processing and analytics workflows.

Senior Data Analyst

Alcon

2024-6 - 2024-9 · 4 mos

- Designed and debugged scalable data pipelines utilizing Spark, applying data modelling best practices to optimize performance and efficiency. - Executed complex data queries from S3 using AWS Athena to streamline data processing and support downstream data analytics.

DataOps Engineer

S&P Global

2023-2 - 2024-5 · 1 yr 4 mos

Poland

Utilized SQL, Python, Docker, GitLab, and Kubernetes to construct comprehensive pipelines for monthly analysis. Demonstrated proficiency in data analysis and manipulation, leveraging a combination of SQL and Python to extract meaningful insights. Reduced the deviation between the results from the analysis and the clients' expectations from 7% to 2% compared to previous months. Effectively utilized containerization technologies like Docker and orchestration tools like Airflow to streamline the deployment process and enhance scalability. Employed version control systems like GitLab to ensure proper management and tracking of code changes, enabling collaborative development and efficient bug fixing. Successfully contributed to enhancing operational efficiency, reducing downtime, and improving overall data analysis accuracy, positively impacting the organization's performance.

Senior Compliance Associate (Business Intelligence)

Amazon

2022-1 - 2023-2 · 1 yr 2 mos

* Worked in a multidisciplinary agile team * Solved a two-year long problem by building an ETL pipeline which ingested and transformed data * Created forecast Dashboards with Power BI that gave a clear and objective metric to seeing the performance of the retail team across the year •Deployed advanced SQL skills in querying data from large databases that comprised of three major brokers across Europe

Faculty Trainer- Data Science

Utiva

2021-9 - 2023-2 · 1 yr 6 mos

Nigeria

Data Science Fellowship

Data Analytics Session lead

Udacity

2022-2 - 2022-8 · 7 mos

Machine Learning Engineer

Determinas

2020-10 - 2021-9 · 1 yr

Lagos, Nigeria

* Cleaned and prepared collected data for proper data analysis * Built Analytics dashboard that help organizations measure their performance * Built and improved machine learning models using state-of-the art frameworks