data engineering , Github, Apache Flink, AWS Glue, AWS Athena, Sql, Terraform, Spark, Apache Kafka, Databricks, Gitlab, Python, Airflow, AWS EMR, multi-hop medallion architecture, Unity Catalog, dbt

Azure Synapse Analytics, Scala, Sparksql, Azure Time Series Insights, Azure Databricks with PySpark, Azure HDInsight, Azure Stream Analytics, Azure Analysis Services, Azure Data Explorer, Microsoft Azure Analytics Services

data engineering , Sql, Databricks, Data Factory, Tensorflow, Deep Learning, Etl, Pytorch, ELT, Machine Learning, Python, Kubernetes, Docker, Nlp, Spark, Airflow, LLMs, AWS Sagemaker, Azure AI, RAG, MLOps tools, MLflow, Kubeflow, Google Vertex AI, Transformers

? Advanced SQL (Complex Joins, Performance Tuning), ? Azure Data Lake Storage (ADLS), ? Data Governance & Data Lineage, ? Agile & RFC-Driven Environments, Databricks, Query Optimization, SQLDBM, Window Functions, ? Metadata Management, ? Power BI Semantic Models

Data Architecture, RDBMS, Nosql, Etl, Saml, CRM

Machine Learning, Data Management, My Sql, Data Architecture, Aws

Data Modeling, Mysql, Data Architecture, Etl, Oracle, Aws

Apis, Backend Development, Django, MLops, Gcp, Flask, Distributed Systems, Azure, Kubernetes, AWS, Python frameworks, Generative AI, LLMs, MLE, Microservices architecture, Cloud-native architectures, Agentic AI, Cloud-based deployment strategies