Cloud, Monitoring team. • Saved hundreds of hours in user time by developing a new feature end-to-end: implemented Database Access Object and Service with Idempotency and API and tested it through Client. • Speeded up the data export script runtime from 86 days to 32 hours by parallelizing it on 50 threads. • Achieved no downtime in migration to new backend by developing a Feature Flag for Data Mirroring. • Developed a script to fetch and export 5.82 GB of alerting time series over past 30 days into data storage. • Computed the statistics of 4 datasets with total of 150 million entries in 3 hours by devising and implementing the optimal algorithm. • Tested a hypothesis using Empirical Bootstrapping, Equivalence test with log transform, Two-sample t-Test, and Mann-Whitney U test and ensured reproducibility of results with instructions and easily adjustable scripts. • Implemented Readiness Probe for 2 services. • Tech stack: Spring, Java, YDB, SQL, gRPC/Protobuf, JUnit, Jupyter Notebook, Python.

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Cloud, Monitoring team. • Saved hundreds of hours in user time by developing a new feature end-to-end: implemented Database Access Object and Service with Idempotency and API and tested it through Client. • Speeded up the data export script runtime from 86 days to 32 hours by parallelizing it on 50 threads. • Achieved no downtime in migration to new backend by developing a Feature Flag for Data Mirroring. • Developed a script to fetch and export 5.82 GB of alerting time series over past 30 days into data storage. • Computed the statistics of 4 datasets with total of 150 million entries in 3 hours by devising and implementing the optimal algorithm. • Tested a hypothesis using Empirical Bootstrapping, Equivalence test with log transform, Two-sample t-Test, and Mann-Whitney U test and ensured reproducibility of results with instructions and easily adjustable scripts. • Implemented Readiness Probe for 2 services. • Tech stack: Spring, Java, YDB, SQL, gRPC/Protobuf, JUnit, Jupyter Notebook, Python.

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