data integration techniques and best practices, troubleshooting and resolving complex data platform issues, Databricks Unified Data Analytics Platform, data governance and security principles, design and implement scalable data pipelines and workflows, cloud-based data processing and storage solutions

Vcs, Perl, Python, Tcl, Xcelium, AMBA-based interconnect fabrics, AXI-Lite, Uvm, systemverilog, Axi, APB, AI-assisted engineering tools, Questa, AHB

Java, Scala, Kafka, Sql, Git, Spark, Kubernetes, Python, Airflow, Nessie, Flink, Iceberg, Polaris

Machine Learning, Data Analytics, Python, Deep Learning, Document-processing pipelines, LLM-based workflows

Azure Data Factory, Power Bi, MySQL, Oracle, Sql, Performance Tuning, Data Modeling, ADLS Gen2, Enterprise data architecture, Data quality frameworks, Data integration patterns, Troubleshooting, Data security practices, Workflow orchestration, Query development

boundary scan , ATPG (Automatic Test Pattern Generation), LBIST (Logic Built-In Self-Test), DFT DRC (Design Rule Checking), Jtag, Perl, Python, Tcl, LINT, ASIC design flow, cdc, Scan compression, Scan stitching, Low power DFT Techniques, RTL Coding, ATPG Coverage improvement, DFT STA Constraint development, Analog Phy DFT

snowflake , Apis, Power Bi, Sql, ELT, Azure Data Factory, Etl, Data Modeling, Alteryx, Data Integration, Data Quality, Data Governance, Python, Salesforce, Airflow, Matillion, Microsoft Fabric, Fivetran, Semantic Models, Data Pipelines, Vector Databases, semantic search, LLM Application Patterns, Enterprise Data Warehouse Design

snowflake , Power Bi, Pyspark, Workato, Terraform, Databricks, Azure, Python, AWS, Airflow, GitHub Actions, dbt, Fivetran

Tcl, System Verilog, Python, Perl, Vcs, Questa, Uvm, Modelsim