In an era where data drives decision-making and innovation, few professionals stand out like Srinivasa Nelluri. With over 20 years of experience in big data engineering, data warehousing, data architecture, and enterprise analytics, Srinivasa has built a career that bridges technical depth with business impact. Based in Charlotte, North Carolina, his work spans multiple domains including financial services, ERP, and CRM systems, helping organizations turn complex data into strategic assets.
A Foundation Built on Deep Technical Expertise
Srinivasa has worked extensively with industry-leading technologies such as Hadoop, Spark, Kafka, Hive, Snowflake, Databricks, AWS, GCP, Teradata, and Informatica, to name a few. His language skills include Scala, Python, Java, and Shell scripting, which enable him to design and optimize robust data pipelines that meet the needs of modern enterprises.
As a Senior Staff Data Engineer at Zelle / Early Warning Services LLC, Srinivasa is currently leading a mission-critical initiative to build a Unified Identity Platform. The project leverages real-time and batch processing techniques to detect fraudulent activity by analyzing large-scale datasets through technologies such as Kafka, Elasticsearch, and Aerospike. His efforts have streamlined data integration from multiple sources, improved system scalability, and enabled real-time fraud detection capabilities that are reshaping digital security in financial transactions.
Leading with Vision, Delivering with Precision
Srinivasa’s responsibilities go far beyond coding. He has consistently led cross-functional teams, managed cloud migrations, and contributed to enterprise-wide data strategy. At Zelle, he has:
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Designed and implemented scalable data architectures using AWS Databricks, Delta Lake, and Apache Spark
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Built and optimized ETL/ELT pipelines for ingestion from sources like S3, RDS, Kafka, and on-premise databases
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Enforced data governance practices aligned with GDPR and CCPA using tools like IAM, Lake Formation, and Unity Catalog
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Tuned clusters and Spark jobs for cost and performance efficiency using Photon and autoscaling mechanisms
Recognized for Excellence
Srinivasa’s technical achievements have been recognized across organizations. At Wells Fargo, he was honored with the Gold Coin Award for Star Performance in 2015. He is Six Sigma Greenbelt trained and has undergone PMP training, underscoring his commitment to both process excellence and leadership development.
Skills That Set Him Apart
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Big Data Platforms: Hadoop, Kafka, Spark, Hive, BigQuery
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Cloud Infrastructure: AWS, GCP, Redshift, Snowflake, Databricks
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Programming: Scala, Java, Python, Shell Scripting
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ETL Tools: Informatica, DataStage
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Data Modeling & Warehousing: Oracle, SQL Server, Teradata, HBase
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Visualization: Tableau, SAP Business Objects, Crystal Reports
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DevOps & CI/CD: GitLab, Jenkins, Maven, Bitbucket
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Real-time Analytics and Streaming Pipelines
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Data Governance and Security Frameworks
A Forward-Thinking Leader
With the rise of AI and real-time analytics, professionals like Srinivasa Nelluri are shaping the future of how data is collected, processed, and used. Whether it’s managing high-throughput streaming data or ensuring cloud data environments are both scalable and secure, his work is a benchmark for what modern data engineering leadership looks like.
As enterprises continue to embrace digital transformation, Srinivasa’s vision and expertise remain vital in delivering next-generation solutions that are not only innovative but also sustainable and business-driven.