Service Level Objective (SLO) Practices, snowflake , Change Data Capture (CDC), Apache Spark, Kafka, Databricks, Cloud-native data platforms, Enterprise data architecture, SnowPro Certifications, SAFe Agile frameworks, Streaming Data Architectures, Modern data lake and data warehouse architecture, Distributed processing frameworks, Cloud Cost Optimization, Enterprise-scale cloud data platforms, Observability Tooling

Distributed Systems, Hadoop, Cassandra, Kafka, Redis, Ceph, Oracle, Kubernetes, AI-driven Automation, Infrastructure Cost Control, OpenSearch, Operational Tooling

data engineering , snowflake , Gcp, Databricks, Azure, AWS, Cloud Analytics, Enterprise AI

snowflake , SAP, Databricks, Data Analytics, Salesforce Crm, Oracle, Salesforce

data engineering , snowflake , Data Management, Apis, Pyspark, Sql, ELT, Data Quality, Gcp, Data Architecture, Databricks, Data Governance, Azure, Python, AWS, Etl, GenAI, Data Modernization, Teradata, Agentic AI, Cloud Data Platforms

Databricks, Power Bi, Sql, Etl, ELT, Python, Pyspark, Spark, Delta Lake, Unity Catalog, Azure data services

Databricks, Data Governance, Data Analytics, AI fluency, Observability SLOs

snowflake , Gcp, Kafka, Informatica, Redshift, Sql, Devops, Terraform, Cicd, Spark, Agile, Databricks, Scrum, Restful Apis, Azure, Python, AWS, SRE, dbt, MS Fabric

data warehouses , data engineering , Data Lineage, Databricks, Sql, Data Architecture, Solution architecture, Hadoop, Agile Methodologies, Data Quality, Data Profiling, Data Transformation, Hive, Data Governance, Azure, data classification, Data Validation, Data lakes, Data ops, Data mesh, Data Analysis, data marts

BPM, Cloud, Rpa, Databricks, Appian, No-code, Low-code, PEGA