data engineering , bi architecture , Bi Reporting, Dashboards, Version Control, Automated Testing, ELT, Etl, Analytics Enablement, Documentation, CI CD, Security, SDLC practices, observability

Python, Statistical Modelling, Power Bi, Api Development, Clustering, Sql, Azure Cloud, Git, MLops, Data Visualization, Machine Learning, Azure Machine Learning, Deployment, Recommendation systems, Optimization, CI CD, Agent-based workflows, Classification, experimentation, Monitoring, Generative AI, Forecasting, Drift detection, LLM applications, RAG, Retraining, Azure AI services, Enterprise data experience

BigQuery, Hadoop, Kafka, DataFlow, Gcp, Terraform, Shell scripting, Python, AWS, Airflow, Google Cloud SDK, Pub Sub, Cloud SQL, Relational Databases RDBMS, GCS, NiFi

Hiveql, Scala, Pl Sql, Sparksql, Ddl, Python, Sql, AWS Infrastructure, MDX, KornShell

Tableau, Powerpivot, Excel, Python, Sql, BI platforms

snowflake , Python, Sql, Looker

Pyspark, Machine Learning, Exploratory Data Analysis, Artificial Intelligence, Azure Databricks, Sql, Jenkins, Devops, Git, Docker, Spark, Python, Azure Pipelines, Statistical ML techniques, ML Ops, Kubeflow, MLFlow

Nosql, Aerospike, Kafka, Smpp, Sql, telecom signaling, ClickHouse, NATS, high-performance persistence layers, Ss7, Sigtran

S3, Metadata Management, Data Modeling, Redshift, Sql, Oracle Ebs, Salesforce, data governance standards, Airflow, AWS ecosystem, AI and ML libraries, Finance, ETL processes, data engineering principles, Supply chain modules

snowflake , Databricks, Data Modeling, Sql, Python, ELT, Etl, data quality checks, pipeline development, R