Sivakumar Ramaswamy
Staff Data Engineer
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolSivakumar Ramaswamy is a Staff Data Engineer based in Sydney with 12 years of experience designing and operating large-scale data and ML platforms across AWS and Databricks. He has deep expertise in Spark, Snowflake, Airbyte, Airflow, dbt and AWS services (EMR, S3, EKS, DynamoDB) and has led production model-serving and ELT pipeline initiatives. Prior roles at Commonwealth Bank, Zip Co and AWS showcase his blend of cloud architecture, hands-on engineering and customer-facing problem solving. An active open-source committer, he contributed CDC and Avro/schema-registry work to Airbyte—improving MSSQL CDC and Kafka ingestion pipelines used widely in the data integration community. Holding Australian citizenship and multiple certifications (Databricks, AWS, Java), he pairs enterprise-grade discipline with a practical focus on observability and deployable ML infrastructure. Colleagues rely on him for translating complex data requirements into robust, scalable pipelines that accelerate product delivery.
12 years of coding experience
15 years of employment as a software developer
Graduate Certificate in Data Analytics Data Analytics, Graduate Certificate in Data Analytics Data Analytics at Melbourne Institute of TechnologySSLC Government Hr.Secondary School Board of secondary educationBachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at Anna University Chennai
Github Skills (10)
javas10
avro10
cdc10
kafka10
data-integration10
java10
mssql10
data-engineering10
schema9
python4
Programming languages (8)
Github contributions (5)
airbytehq/airbyte
May 2022 - Sep 2022
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:25 reviews, 39 commits, 15 PRs in 3 months
Contributions summary:Sivakumar contributed to the MSSQL source connector, primarily focusing on features related to CDC (Change Data Capture). Their work included adding options to disable initial snapshots, modifying snapshot isolation settings, and handling special characters in database names for CDC functionality. The user also improved the Kafka source connector by adding support for Avro format messages, including schema registry integration and other related configurations. These changes enhanced the functionality and flexibility of data integration pipelines within the Airbyte platform.
operationpythondataintegration-platformdata-warehouse
awsbigdata/learnpython
Dec 2018 - Mar 2024
Contributions:13 pushes, 1 branch in 5 years 4 months
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