Aws Redshift, Data Modeling, Automated Testing, Scala, Apache Spark, ELT, Azure Synapse, Gcp, Databricks, Data Warehousing, Azure, Python, AWS, Etl, Lakehouse Architecture, Google BigQuery, Unity Catalog, Delta Lake, CI/CD, Infrastructure-as-Code, Observability, Databricks Workflows

Kubernetes, Natural Language Processing, Deep Learning, Golang, Machine Learning, MLops, BigQuery, Python, Docker, Gcp, Vertex AI, Mathematical Optimization, reinforcement learning, Generative AI

probability , Sql, Power Bi, Python, MATLAB, Tableau, Machine Learning, R, Statistics, metrics design

data warehouses , Java, Machine Learning, Information Retrieval, data mining, Big Data, ELT, Nosql, Tensorflow, Javascript, MongoDB, Python, Etl, reporting analytic tools, Go, SparkML, data lakes, distributed data platforms

user flows , Fiddler, Federation, Azure DevOps, Kerberos, Saml, Oauth, PowerShell, Ldap, Servicenow, Hybrid Join, AD, IAM concepts, GitHub actions, Provisioning, Entra ID AAD Connect, Windows Hello for Business, CICD pipelines, Azure AD Connect, Authn, IAM Services, MFA, multi-factor authentication, openid, WS-Fed, Entra ID, cloud identity patterns, HAR files, MS Graph, certificates, Authz

uat coordination , SAS, BigQuery, Data Transformation, Requirements Analysis, Gcp, Advanced Sql, pipeline development, Reporting migration, Google Dataform, Legacy BI modernization, Data quality validation, Business stakeholder management

Kubernetes, Bash Scripting, Terraform, Docker, Git, Linux, Networking fundamentals

DAST, Git, Typescript, Javascript, Containers, Python, OpenID Connect, software composition analysis, Go, automated test suites, OAuth 2.0, role-based access control, SAST, infrastructure as code

.NET, Git, T-sql, Celery, Jira, Python, Github, C#, Csv, PostgreSQL, Microsoft Sql Server, Cursor, Oracle Pl Sql, Docker, Sftp, Azure cloud services, Excel, RQ, Airflow, Claude Code, Copilot, Prefect, Dagster, CI CD pipelines, Windsurf

Python, evaluation frameworks, quality-control systems, data anonymization, synthetic data generation