Data Modeling, Python, Evaluation, Databricks on AWS, Agent Frameworks, Spark Mastery, Architectural Vision, Prompt Engineering for DE, GenAI Agentic Programming, Tool Development

Tensorflow, Deep Learning, Machine Learning, Pytorch, Python, Industrial Automation Systems, Machine Controllers, PLCs, Real-time Analytics, SCADA Systems, Predictive Maintenance, Sensor Data Analytics, Edge Computing, Process Optimization, Industrial Data Acquisition, anomaly detection

Algorithms, Data Analytics, virtualization, Scala, Storage Systems, Software Design, ELT, Data Warehousing Concepts, data structures, Python, Etl, Cloud Computing, deep learning frameworks, multi-tenant cloud infrastructures, content delivery networks, R, Gemini models, ADK Gemini Enterprise, data visualization techniques

containerization , Hadoop Ecosystem, PostgreSQL, Kafka, Big Data Technologies, Tableau, Data Modeling, RDBMS, MySQL, Distributed Systems, Shell scripting, Data Visualization, Python, AWS, Java, Machine Learning, Bi Tools, Flume, Power Bi, Scala, Google Cloud, Jenkins, Spark, MongoDB, Devops Tools, Azure, Statistical Analysis, large-scale application development, R, NoSQL databases, CI CD pipelines

data engineering , snowflake , Apis, Power Bi, Rpa, change management, Informatica, Data Quality, Azure Data Factory, Python, platform reliability engineering, ETL ELT technologies, AI GenAI tools, incident problem management, CI CD, Looker, Rca, DataOps, metadata lineage, Fivetran, observability, Governance

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

BigQuery, Pyspark, Dataproc, Sql, Cloud Storage, Gcp, Apache Beam, DataFlow, Python, Airflow, Pub Sub, Cloud Composer, BigQuery ML, dbt, Vertex AI

Sql, Java, Pyspark, Kafka, Pandas, Kubernetes, Python, Docker, Scala, Spark, Delta Lake, Airflow, Ray, MLflow, Kubeflow, Infrastructure as Code, Iceberg

Nlp, Docker, Python, Api Development, Sql, Deep Learning, REST, Neo4j, FastAPI, Kubernetes, Agentic AI architectures, RAG systems, Transformer architecture, Azure AI Foundry, Microservices architecture, Tool Calling mechanisms, LangChain, Generative AI, LLMOps practices, MCP Model Context Protocol, CI CD pipelines, LLM implementation, Multi-agent systems, LlamaIndex, hyperscaler offerings

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