Java, S3, Hadoop, Scala, Nodejs, Data Modeling, Emr, Data Governance, Redshift, Sql, Hive, Ec2, Spark, Python, Semantic layers, GenAI solutions, Dashboard data models, Big data pipelines, AWS Tools and Technologies, ETL pipelines

Spark SQL, Hive, Hadoop, Pyspark, Data Modeling, Data Warehousing, Sql, Data lakes, ETL processes

data engineering , Redshift, Nodejs, Sql, Big Data Technologies, S3, Data Modeling, Emr, Java, Hadoop, Hive, Python, Ec2, Scala, Spark, ETL pipelines, AWS Tools

graph databases , Spark, Databricks, Sql, AWS, S3, Python, Tableau, Spark Streaming, dbt

snowflake , AWS, Databricks, Sql, ELT, Etl, Python, Pyspark, Spark, GenAI

data engineering , Databricks, Kafka, C Sharp, Azure Data Factory, Azure Synapse Analytics, Spark, Dax, Python, Azure DevOps, Purview, R, Microsoft Fabric

object storage , Java, Mqtt, Rust, PostgreSQL, concurrency, Kafka, Networking, Storage, Iot, Kubernetes, data-intensive production systems, failure recovery, ClickHouse, Go, backpressure, high-cardinality time-series data, Pulsar, telematics systems, event-processing systems, Performance Analysis

data engineering , Databricks, Data Warehousing, Azure, Sql

data engineering , Orchestration, Distributed Computing, Gcp, MLops, Python, Sql

data compression , Large Language Models (LLMs), Software Development, Computer Vision, Debugging, Distributed Computing, Technical Leadership, Natural Language Processing, Information Retrieval, Networking, Artificial Intelligence, User Interface Design, Data Processing, fine tuning, model deployment, language modeling, model evaluation, Multi-Modal Large Vision Models, state of the art GenAI techniques, People Management, Security, Team Leadership, technical project strategy, large-scale system design