Praveen N
Senior Data Engineer | Azure & AWS Cloud | ETL/ELT Pipelines | Spark, PySpark & Kafka | Snowflake, Synapse & Redshift | Data Warehousing & Analytics
- Role
- Senior Data Engineer at Intuit
- Location
- Mountain View, CA, US
- LinkedIn followers
- 500 followers
About Praveen N
About Me | Data Engineer | Cloud & Big Data Data Engineer with 6+ years of experience designing, building, and optimizing scalable data platforms across healthcare, fintech, payments, mortgage, and retail domains. Cloud & Data Architecture Expert• Hands-on with Azure, AWS, and GCP• Built production-grade pipelines using ADF, Databricks, Synapse, Redshift, Glue, BigQuery• Focused on security, scalability, and cost efficiency Big Data & Streaming Systems• Designed large-scale ETL/ELT pipelines processing high-volume data• Real-time & batch solutions using Apache Spark, Kafka, Hive, HDFS, Airflow• Implemented Delta Lake (Bronze / Silver / Gold) architectures for reliability and governance Programming & Automation• Strong in Python & SQL for data transformation, modeling, and optimization• Hands-on with Pandas, NumPy, Scikit-learn, TensorFlow• Automated workflows using Airflow, Jenkins, and CI/CD pipelines. Analytics & Visualization• Turn raw data into insights using Power BI, Tableau, ELK Stack, Alteryx• Enable business teams with clean, trusted, analytics-ready datasets DevOps & Platform Engineering• CI/CD with Azure DevOps, Jenkins, YAML• Infrastructure as Code using Terraform• Containerization & orchestration with Docker & Kubernetes Database & Storage Expertise• Relational: MySQL, Oracle, SQL Server, PostgreSQL• NoSQL: MongoDB, Cassandra, DynamoDB• Strong focus on query tuning, reliability, and scale🤖 AI-Ready Data Engineering• Built cloud-native data foundations for AI/ML workloads• Experience integrating with Azure OpenAI Service and early-stage LLM pipelines Education• Master’s in Information Technology – Indiana Institute of Technology, USA🤝 Collaboration & Leadership• Strong experience working in Agile/Scrum environments• Translate business problems into scalable data solutions• Known for ownership, clarity, and execution Let’s Connect
Experience
Senior Data Engineer
Jul 2024 — Present · Mountain View, CA, US
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