Open to opportunities

sanjeev krishnaiah

@sanjeevkrishnaiah

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Data Engineer focused on scalable PySpark ETL, streaming, and lakehouse analytics.

India

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What I'm looking for

I’m actively seeking Data Engineer roles using PySpark/ETL/SQL for scalable batch and real-time pipelines. I’m available immediately and open to relocation and visa sponsorship, ideally in environments that value lakehouse design and reliable production SLAs.

I’m a Data Engineer with 3+ years of experience building scalable ETL and real-time data pipelines using PySpark, SQL, and Spark Structured Streaming. I design event-driven and lakehouse architectures for analytics and business intelligence, leveraging Apache Kafka, Delta Lake, and Databricks.

At Lingaro, I designed and built ETL pipelines that improved performance by 20–30%, optimized complex queries to reduce data processing time by 25%, and increased reliability by reducing failure rates by 20%. I also implemented data validation, monitoring, and SLA compliance for production-grade pipelines.

I’ve worked across multi-cloud environments (AWS and GCP) and helped production teams through streaming and batch pipeline development, plus CI/CD automation using Azure DevOps. I’m now actively seeking new Data Engineer opportunities with immediate availability and openness to relocation and visa sponsorship.

Experience

Work history, roles, and key accomplishments

Service Support Representative 3

Unisys

Jan 2024 - Apr 2024 (3 months)

Monitored and supported production and ETL jobs, performing SQL-based data validation and resolving incidents to ensure system reliability and SLA compliance.

SQL ETL Job Monitoring Data Validation Production Support SLA