Cloud-based data platforms and services, Data integration techniques and methodologies, Data modeling and architecture design, Prompt Engineering

data engineering , Apis, Sql, Etl, Data Quality Governance, Martech Engineering, Privacy Consent, Security Standards, Data Integrations, CRM

data engineering , Backend Development, high-availability dimensional data stores, large-scale data processing pipelines

Java, Bi Tools, Api Development, Scala, Nodejs, Data Modeling, Sql, Python, orchestration tools, knowledge graph technologies, Warehousing, AI coding assistants, prompt engineering, agentic workflows, AWS technologies, infrastructure-as-code, AI-powered automation tools, Gen AI enhanced development pipelines, AI agents, non-relational databases, ML frameworks, semantic search, ETL pipelines

Python, Apache Spark, Data Modelling, Pipeline Engineering, SQL Transformation, Observability, AI tools, dbt, Data Quality Engineering, Trino

Pyspark, Data Modeling, Sql, ELT, MLops, Databricks, AWS, Etl, Model training, Feature engineering, Real-time inference, Retraining, Monitoring

data engineering , graph databases , object storage , AWS Glue, Data Modeling, IAM Roles and Permissions, Column-Family Databases, ETL Pipelines, Non-relational Databases, Key-Value Stores

data engineering , Cloud Computing, Machine Learning, SSIS, Python, AWS, Data Processing