I'm a motivated and enthusiastic individual with a strong interest in the Data Science field. At present, I'm working as a Data Engineer. I have expertise in various data engineering tools and technologies, ensuring reli…
I'm a motivated and enthusiastic individual with a strong interest in the Data Science field. At present, I'm working as a Data Engineer. I have expertise in various data engineering tools and technologies, ensuring reliable and secure data access. Continuous learning allows me to optimize data processing and deliver high-quality data solutions for informed decision-making.
As a highly skilled Data Engineer with a BSc (Hons) in Applied Statistics and Mathematics from the University of Peradeniya, I am passionate about designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. With my expertise in various data engineering tools and technologies, including RDS, Redshift, DynamoDB, EMR, DMS, Kinesis, PySpark, Hadoop, Hive, Python, Real-time data processing, and batch data processing, I ensure that data is easily accessible, reliable, and secure for the organization.
My commitment to continuous learning and implementing new methodologies enables me to optimize data processing and analysis, delivering high-quality data solutions that meet business needs and enable data-driven decision-making. I also have extensive experience in Data Validation and Quality Check and have developed expertise in Data Pipeline and Data Analysis.
Currently, I am working with AWS and leveraging its services to create effective data solutions. My experience with AWS has allowed me to apply my knowledge and skills to its fullest potential.
Experienced professional proficient in data pipeline management, data warehousing optimization, and cloud technology utilization, especially AWS.
Skilled in Python, SQL, PySpark, Flink, and data processing for data-driven decision-making.
Key competencies include ETL development, SQL/NOSQL databases (MySQL, MSSQL, PostgreSQL, MariaDB, MongoDB, Cassandra, DynamoDB), and data warehousing (Redshift, Snowflake).
AWS cloud services (S3, RDS, DMS, Kinesis, Athena, Lambda, EMR, Glue, SNS, SQS, API Gateway).
Significant achievements include designing and maintaining ETL pipelines, optimizing AWS services, utilizing Athena and Lambda for efficient data access, automating workflows with AWS Glue, ensuring data quality, and resolving data-related issues for streamlined data analytics.
Collaborative and detail-oriented professional with a strong focus on data governance.
A project aimed at implementing the Lean Operational Excellence concept within Hemas Healthcare to maximize value for patients by reducing waste and waiting time through initiatives such as Structure Rationalization, Resource Utilization, Workload Balancing, and Optimization of Organizational Structure.
Badulla (RHO)
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