data engineering , snowflake , SQL Server, Redshift, Sql Development, Powercenter, Database Technologies, Databricks, Data Stage, Python, AWS, Etl, AI ML concepts, ELT frameworks, Data pipelines, DWH with data modeling

containerization , Dynamodb, Redis, Sql, Numpy, Pandas, Batch, Spark, Flask, Python, AWS, Step Functions, Polars, ECR, Metaflow

Docker, Redis, ADO, FastAPI, Mssql, Python, Azure, Git, Celery, MongoDB

Uart, Spi, Arinc, Pcie, Python, Tcl, Cadence-Xcelium, DO-254, Siemens Questasim, VHDL, Rivera-PRO, AXI4, Synopsys-VCS

boundary scan , Vcs, Tcl, System Verilog, Python, Perl, Tessent tool sets, TestMax, Logic Equivalency checking, EDA Tools, ATPG, Scan and BIST architectures, primetime, Gate level simulation debugging, Jtag protocols, memory BIST, TetraMax

Apis, Hadoop, Scala, Impala, Mapreduce, Big Data Technologies, Hive, Gcp, Kerberos, Spark, Data Transformation, Kafka, Oozie, Data Extraction, Python, AWS, HDFS, Parallel Processing

containerization , Distributed Computing, Sql, Application Development, Api Integration, Devops, MLops, Cloud Services, Python, Data Transformation, Jenkins, Git, Workflow Orchestration, ModelOps, Data Security Principles, CI CD, Data Engineering Patterns