Unix, Linux, Kubernetes, AWS, SLI, SRE practices, infrastructure-as-code, SLO, DevOps tooling

data engineering , retail media , Data Analytics, Power Bi, Tableau, Sql, Databricks, Google Analytics, Azure, ecommerce technologies, business analytics, digital shelf analytics, Digital Commerce

Alteryx, Tableau, Visual Basic, Excel, Python, Macros, options, Word, XVA, Rates, Futures, Collateral OTC Derivatives, Credit, Repos, Fx, Ms Office Suite, AI tools, Powerpoint, Swaps, cva, DVA, Fixed Income Derivatives, Reverse Repos, FVA, Access databases

Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, AI ML frameworks

cloud platform , XGBoost, Tensorflow, Nlp, Numpy, Pandas, Gcp, Pytorch, Python, LangChain, Document extraction using AI, Vision AI, Scikit-learn, Gen AI, Conversational AI

Azure, Aws

Java, Rtc, Uft, Spring Boot, Sql, Redis, Spring, Nosql, TestNG, Bdd Framework, RDBMS, JUnit, Rest Assured, Elastic Search, Mybatis, Selenium, MongoDB, Mybatis Plus, Httpclient, Cypress, JIRA-XRAY

Apis, GenAI, ML automation decision systems, LLMs, Accuracy vs cost vs latency considerations, Evaluation metrics beyond adoption precision lift overrides time saved, Modern AI tooling and workflows, RAG concepts, AI-powered product features, Orchestration frameworks, Model limitations and trade-offs, Data-driven systems