, Spark, Databricks, Sql, Emr, Kafka, Hive, Redshift, Athena, Scalable data pipelines, Airflow, Micro-services architecture, Streaming pipelines, Flink, Column stores, AWS data services, Apache projects, Relational Databases

Pyspark, Performance Tuning, Apache Spark, Sparksql, Sql, Databricks, Python, AWS, Scaled Agile methodologies, workflow orchestration, Data Fabric, Data Mesh

snowflake , Bi Tools, Sql, Github, Ruby On Rails, React, Etl, AWS, Terraform, PostgreSQL, infrastructure-as-code, BI reporting dashboards, Git-based workflows, Semantic Layer, dbt, cross-functional initiatives, Fivetran, Airbyte, CI CD, analytics platforms, vector store management, embedding generation, ELT pipelines, RAG ingestion pipelines

qa engineering , composer , DevSecOps, Bdd, Kafka, BigQuery, Redis, MySQL, Atdd, Python, Kubernetes, Gcp, Tdd, Spark, Airflow, SRE, Xp

Seaborn, Sql, Apache Flink, Apache Airflow, Apache Spark, Pandas, Oracle Database, Presto, Numpy, Tableau, Kafka, Power Bi, Python, Oracle Data Integrator, Scipy, Matplotlib, Oracle Autonomous Data Warehouse, Oracle Analytics Cloud

S3, Data Transformation, Data Modelling, PostgreSQL, SQL Server, Kafka, Schema Design, Redshift, Sql, Git, MySQL, MongoDB, Google Analytics, Python, AWS, user behaviour tracking, event-driven architectures, Looker, Snowplow, dbt, AWS Kinesis

Data Pipeline Development, Creating executive dashboards for GenAI insights usage performance cost reliability, Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Analytics Dashboarding BI, Experience supporting Generative AI Machine Learning or AI platform initiatives, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs