Data Science, Database Design, Data Modeling, Python, Sql, Cloud data platforms and services, ETL processes, Data pipeline architecture

snowflake , Performance Tuning, Data Modeling, Azure Synapse, MySQL, Amazon Redshift, Gitlab, metadata-driven pipelines, workflow orchestration, NoSQL databases, Lakehouse architectures, CI CD, dbt

Sqlalchemy, Yaml, Pandas, MySQL, PostgreSQL, Data Architecture, Python, Sql, Etl, Airflow, Data Pipelines

Network Security, Micro Services, Cloud Computing, Spark Streaming, Databricks, Python, AI tools, Streaming Technologies, Azure Search, Non-relational databases, AI Agent development, Azure Data Lake Storage, AI powered solutions design, Relational Databases, Azure Event Hubs, Advanced reusable automated frameworks, Azure SQL Server

RAG (Retrieval-Augmented Generation), Azure Data Factory (ADF), Pyspark, Azure Sql, Sql, ELT, Devops, Azure Synapse Analytics, Azure Data Lake, Spark, Cosmos DB, Python, Etl, Fabric Lakehouse architectures, Infrastructure as Code, vector databases, CI/CD pipelines, Microsoft Fabric, Azure AI Search

data streaming , Data Modeling, AWS Glue, Kafka, Data Governance, Python, AWS, Data Transformation, Java, Scala, Sql, Devops, Gcp, Spark, Azure, Airflow, Data Ingestion, Automated Deployment Pipelines, Data Lakehouses, Flink, Parquet, Data Lakes, Data Hubs, Iceberg, dbt, CI/CD

Deduplication, Sql, Python, Ocr, Vector databases, Layout parsing, Batch and streaming pipelines, Classical extraction methods, Schema checks, anomaly detection, LLM evaluation sets, Human-in-the-loop review workflows, Document AI, Vector store indexing, LLM APIs, Embedding pipelines, AI agents, RAG pipelines, Multimodal models, Table extraction, Prompt design, Data quality validation

Agile Methodologies, Pyspark, Sql, Big Data Technologies, Microservices, Git, Gcp, Apache Kafka, Spark, Rest Apis, Azure, Python, AWS, Etl, Kafka Connect, Kafka Streams, CI/CD tools, ELT pipelines