Data Engineer Tekcel
Designed and deployed scalable ETL pipelines and data lakes using AWS and Apache Spark to ingest over 1TB/day from 15+ sources, reducing latency by 30%.
I am a dedicated Data Engineer with extensive experience in designing and deploying scalable ETL pipelines and data lakes. My expertise lies in utilizing AWS services and Apache Spark to ingest large volumes of data efficiently. I have a strong background in optimizing machine learning infrastructure and automating CI/CD processes, which has significantly improved deployment reliability and reduced costs. I thrive in collaborative environments and am committed to maintaining data governance compliance while supporting global teams.
Throughout my career, I have successfully built centralized data lakes and developed real-time ETL pipelines that enhance data quality and analytics capabilities. My work has enabled organizations to leverage data for personalized marketing and improved operational efficiency. I am skilled in using various tools and technologies, including Terraform, PySpark, and Jenkins, to streamline workflows and ensure high availability of data services.
In addition to my technical skills, I have a passion for data-driven decision-making and have applied advanced analytics techniques to solve complex problems. I have experience in creating dashboards and reports that provide valuable insights into key performance indicators, ultimately driving strategic initiatives. My ability to collaborate with stakeholders and translate business requirements into technical solutions has been a key factor in my success.
I am also actively involved in projects that push the boundaries of data engineering, such as developing AI-powered applications and implementing microservices architectures. My commitment to continuous learning and staying updated with industry trends allows me to bring innovative solutions to the table.
I hold a Master's degree in Computer Science and have completed several certifications, including AWS Certified Cloud Practitioner and Azure Administrator Associate. I am eager to contribute my skills and knowledge to a dynamic team that values innovation and excellence in data engineering.
Designed and deployed scalable ETL pipelines and data lakes using AWS and Apache Spark to ingest over 1TB/day from 15+ sources, reducing latency by 30%.
Built a centralized AWS S3 data lake with Terraform and PySpark to aggregate over 1TB of daily transaction data.
Automated student performance data ingestion using Python, reducing processing time by 60%.
Master of Science in Computer Science
Bachelor of Technology in Computer Science
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