data reconciliation , data warehouses , schemas , data models, data quality observability tooling, data pipelines, data engineering concepts, data platforms, identity resolution, data relationships

Sql, Data Governance, Automation Tools, Apis, predictive models, auditability, domain data ownership, provenance, LLM-based applications, semantic and data modeling, AI ML lifecycle, data platforms, Data Analysis, ETL ELT pipelines, lineage

data reconciliation , data warehouses , schemas , Data Governance, Gdpr, Data Quality, data relationships, data models, data ingestion, data pipelines, data platforms, identity resolution, observability

Data Analytics, Apis, Schema Design, Data Modeling, Reporting Tools, data feeds, customer-facing dashboards

Data Modelling, Emr, Cursor, Sql, Code, Hive, Ec2, Spark, Data Governance, semantic layers, AWS cloud services, Taxonomy, Batch Processing, Claude, Regulatory Compliance, Look ML, dimensional modelling, Superset, Trino

data engineering , Metadata Management, Data Modeling, Data Integration, ELT, Apache Airflow, Cloud Storage, Security Controls, Data Architecture, Python, Pyspark, BigQuery, Sql, Data Quality, Storage, Data Warehousing, Etl, Dataform, Cloud Composer, Data Governance Frameworks, Cloud Functions, Lineage, Dataplex, Cloud Pub Sub, GCS

Sql, Databricks, Aws S3, Tableau, Power Bi, Python, PostgreSQL, Function Calling, Streamlit, DuckDB, Google Gemini, Prompt Engineering, OpenAI GPT, Pydantic, Agentic AI, Multi-Agent Architectures, Structured Outputs, Anthropic Claude, ETL ELT Pipeline Development

Sql, Databricks, Tableau, Power Bi, PostgreSQL, Aws S3, Metadata Management, Python, Data Modeling, OpenAI GPT, DuckDB, Streamlit, Prompt Engineering, Pydantic, Interactive Dashboards, Enterprise Data Platforms, Data Quality Frameworks, Multi-Agent Architectures, Semantic Data Models, Function Calling, Google Gemini, Conversational Analytics, Business Intelligence, Agentic AI, Structured Outputs, Anthropic Claude, ETL ELT Pipeline Development

Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Experience supporting Generative AI Machine Learning or AI platform initiatives, Analytics Dashboarding BI, Creating executive dashboards for GenAI insights usage performance cost reliability, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Data Engineering Pipeline Development, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs

Sql, Typescript, Nodejs, AWS CloudFormation, AI ML, Kubernetes, Python, ECS, Docker, AWS Bedrock, Go, AI Agents, NoSQL databases