Krishna Puri — Data Engineer

Pls reach out at: thekrishnapuri@gmail.com Data Engineer with hands-on experience designing and scaling cloud-native data platforms on Azure — turning raw, high-volume data into reliable, analytics-ready pipelines. At Amdocs, I've built and owned a production-grade Azure data platform supporting 50+ pipelines that process 500GB of data daily across a medallion/ layered architecture for a large-scale telecom data migration. My work spans the full data engineering lifecycle — from ingestion and transformation to orchestration, validation, and delivery. What I bring to the table: • Built multi-pattern ingestion pipelines (SFTP batch, DB pulls, Kafka streaming) using ADF & Databricks, backed by a PySpark validation framework with 90% test automation • Delivered Snowflake data marts with MERGE/UPSERT logic and KPI calculations (MTD, YTD, 30DR) powering Power BI dashboards • Engineered event-driven orchestration via control tables, cutting manual intervention by 40%, with enterprise security using Azure Key Vault, Secret Scopes & Private Endpoints • Set up CI/CD pipelines (Azure DevOps) for ADF, Databricks & Snowflake deployments, and reduced storage costs by 30% annually via ADLS Gen2 lifecycle automation I'm certified across the Azure and Snowflake ecosystem: DP-203 Azure Data Engineer Associate | Databricks Associate Data Engineer | SnowPro Core | AZ-900 Core Stack: • Cloud Platforms: Azure, Snowflake • Big Data Tools: Databricks, PySpark, SparkSQL, Hadoop, Kafka, Hive, Airflow • Databases: Azure SQL, PostgreSQL, Oracle, ScyllaDB • ETL/ELT - Data Warehousing: Azure Data Factory, Azure Data Lake • Languages: SQL, Python, Shell Scripting • CI/CD & Tools: Jenkins, GitHub, Azure DevOps, Jira

Stackforce AI infers this person is a Data Engineer specializing in cloud-native data platforms and big data analytics.

Location: Pune, Maharashtra, India

Experience: 2 yrs 11 mos