fivetran/fivetran_connector_sdk
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
API developmentPythondata integrationdatabase management
fivetran-jasonchletsos
PROFILE
Fivetran-jasonchletsos
Developed a major upgrade to the Sybase ASE Connector in the fivetran_connector_sdk repository, enabling dynamic discovery and incremental synchronization of all tables within a configured database. The work introduced per-table state tracking, dynamic schema mapping for Sybase ASE data types, and primary key detection using sp_helpindex, while also improving DECIMAL type handling for protobuf compatibility. Optional table filtering and comprehensive regression testing were added, alongside enhancements to CI quality through linting, formatting, and improved logging. Leveraging Python, SQL, and the Fivetran SDK, the changes broadened data coverage, stabilized cloud deployment, and reduced maintenance by ensuring reliable, incremental data integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
107,911
Activity Months1
Your Network
48 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Major upgrade to the Sybase ASE Connector with Multi-Table Dynamic Discovery and Incremental Sync. Enabled automatic discovery and syncing of all tables in the configured database, with per-table state tracking, dynamic schema mapping for all Sybase ASE data types, and primary key detection via sp_helpindex. Added optional table filtering and improved DECIMAL type handling for protobuf compatibility. Included load/regression tests (sybase_ase_load_test.py), and updated docs; version bumped to 2.0. Also fixed critical bugs and CI quality issues: linting/formatting fixes (flake8/black), replaced safe_log with direct SDK logging, added retry logic to pyodbc.connect and parameterized queries, and platform packaging fixes (bundling libtdsodbc.so) to stabilize cloud sync. Overall impact: broader data coverage with reliable incremental updates, reduced maintenance, and stronger data fidelity. Technologies/skills demonstrated: Python, SQL (Sybase ASE), Fivetran SDK, protobuf, pyodbc, testing, CI quality (flake8/black), and cloud deployment packaging.
1 Commits • 1 Features
Apr 1, 2026April 2026: Major upgrade to the Sybase ASE Connector with Multi-Table Dynamic Discovery and Incremental Sync. Enabled automatic discovery and syncing of all tables in the configured database, with per-table state tracking, dynamic schema mapping for all Sybase ASE data types, and primary key detection via sp_helpindex. Added optional table filtering and improved DECIMAL type handling for protobuf compatibility. Included load/regression tests (sybase_ase_load_test.py), and updated docs; version bumped to 2.0. Also fixed critical bugs and CI quality issues: linting/formatting fixes (flake8/black), replaced safe_log with direct SDK logging, added retry logic to pyodbc.connect and parameterized queries, and platform packaging fixes (bundling libtdsodbc.so) to stabilize cloud sync. Overall impact: broader data coverage with reliable incremental updates, reduced maintenance, and stronger data fidelity. Technologies/skills demonstrated: Python, SQL (Sybase ASE), Fivetran SDK, protobuf, pyodbc, testing, CI quality (flake8/black), and cloud deployment packaging.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API developmentPythondata integrationdatabase management
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