Power Bi, SQL Server, Apache Spark, Tableau, Data Governance, Data Modeling, Data Warehousing, Sql, MySQL, Data Integration, Oracle, Azure, Python, AWS, Data lakes, Big data platforms

SAP, Excel, Sql, Python

data engineering , Java, Power Bi, Agile Development Methodologies, Redshift, Postgres, Python, Etl, AWS capabilities, Emerging architecture, AI-driven solutions, Data Analysis

technology risk , Gdpr, Dlp, Data Privacy, cloud security, Grc, Information Security, NIST AI RMF, NIST CSF, DPDPA, CASB, AI security solutions, ISO IEC 27001, ISO IEC 42001, privacy-enhancing technologies, data discovery and classification, AI Governance

data engineering , MLops, LangChain, N8N, Claude, automation workflows, modern software development practices, Zapier, agentic AI architectures, model evaluation, LLM-powered applications, AI coding tools, OpenAI

Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar

snowflake , Hadoop, Kafka, Apache Airflow, Docker, Helm, Kubernetes, Automated Testing, Fairlearn, SHAP, TFX, SageMaker, LIME, Kubeflow, MLOps tools and practices, orchestration technologies, model versioning, monitoring using MLflow, data engineering principles

Cloud-native data architectures (Azure preferred), Azure Data Factory, Pyspark, Databricks, Python, Sql, Apache Airflow, Adf, Azure Logic Apps, Delta Lake, Event triggers, LLM data pipelines, Orchestration frameworks, MLflow, ADLS Gen2 Blob Storage, ETL/ELT patterns

data engineering , snowflake , Databricks, Data Modelling, Sql, Airflow, DealCloud, LLMs, CRMs, dbt, RAG Agents, Data Lakes, Taxonomy, metadata, Document Extraction, Ai, Lineage