Rohith N Email and Phone Number
As a Data Engineer with 8+ years of specialized experience, I excel in creating seamless, end-to-end data pipelines and advanced analytics solutions. My expertise spans Big Data tools like Apache Spark, Databricks, Kafka, and Airflow, along with deep knowledge of the Hadoop ecosystem. In my role at Nike, I design scalable ETL pipelines and data warehousing architectures, empowering real-time data ingestion and analytics through platforms such as Databricks, Snowflake, and Tableau.I thrive at the intersection of technology and strategy, where I bring a unique blend of practical skills and academic grounding from my Master’s in Business Analytics at California State University - East Bay. This foundation allows me to translate complex business requirements into impactful technical solutions that drive data-informed decisions.Core Skills:ETL/ELT Processes and Data Warehousing: Building efficient, high-volume data pipelines for structured and unstructured data.Cloud Data Engineering and Migrations: Expertise in AWS and Azure for seamless cloud transitions.Streaming Analytics and ML Integration: Supporting real-time analytics with machine learning model deployment.Data Modeling and Schema Design: Optimizing database architecture for performance and scalability.Technical Proficiency: Skilled in Python, SQL, Scala, and NoSQL databases.Distributed Computing and Cluster Optimization: Ensuring optimal performance of large-scale data workloads.With a focus on collaborative solutions and process optimization, I am driven to create data architectures that are both resilient and scalable. Let’s connect if you’re looking to leverage data as a transformative asset for smarter decision-making. Together, we can build the data-driven future!
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Senior Data ModelerBlue Cross Blue Shield AssociationUnited States -
Sr. Data EngineerNike Jul 2023 - PresentSpearheading enterprise-wide data engineering projects, I designed scalable ETL/ELT pipelines utilizing distributed processing frameworks and modular workflows, enabling seamless integration of diverse datasets. By optimizing complex transformations with tools like Apache Spark and Delta Lake, I reduced query execution times by 50%, enhancing overall system efficiency.Implemented robust real-time data ingestion frameworks leveraging event-driven architectures, achieving significant latency reductions. Designed dimensional models with star and snowflake schemas, supporting analytics initiatives with efficient query patterns and high performance.Led the adoption of advanced data processing frameworks, integrating validation and monitoring tools to improve data reliability and governance. My contributions to lineage tracking and metadata cataloging ensured traceability, improving data accessibility and compliance. Additionally, I implemented schema evolution and ACID properties in data lakes to enhance data integrity across the enterprise, achieving a 20% boost in data pipeline efficiency. -
Data EngineerFord Motor Company Feb 2022 - Jun 2023Engineered robust data pipelines and optimized workflows using distributed computing technologies, enabling scalable and reliable processing of large datasets. Developed real-time data streaming solutions with tools like Kafka and Spark Streaming, reducing processing latency by 40%.Designed batch and streaming ETL processes, integrating advanced transformation logic and automating end-to-end data flows. Leveraged DBT for modular and version-controlled SQL transformations, enabling scalable and efficient analytics frameworks. A significant achievement includes implementing a machine learning pipeline for customer segmentation, which improved campaign efficiency by 20%.I optimized relational and columnar data storage by designing star schemas and implementing materialized views, achieving a 30% reduction in query runtime. By integrating observability and governance tools, I improved data reliability, compliance, and operational transparency across workflows. My focus on CI/CD practices for data pipelines reduced development lifecycles and improved system scalability. -
Data EngineerVirtusa Polaris Mar 2019 - Nov 2021Designed and implemented ETL pipelines using distributed data processing tools, reducing batch processing times by 35%. Optimized Apache Spark and Hive workflows for scalable data processing, handling structured and semi-structured data seamlessly.Built hybrid database architectures to integrate OLTP and OLAP systems, ensuring efficient data retrieval and storage. Enhanced real-time data ingestion using message brokers and event-driven architectures, achieving a 25% increase in analytics timeliness.Developed slowly changing dimensions (SCDs) for historical tracking in dimensional models, improving analytics accuracy. Orchestrated workflows using tools like Apache Airflow and Oozie, ensuring robust pipeline automation and error handling.Integrated columnar storage formats like Parquet and ORC to enhance compression and query performance. My efforts in data governance and lineage tracking improved compliance, boosted data quality, and increased system reliability.
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Big Data EngineerRotavio Labs Pvt Ltd May 2016 - Feb 2019Delivered end-to-end data engineering solutions, building ETL pipelines that reduced batch processing times by 40% using tools like Hive, Pig, and Talend. Developed scalable workflows for ingesting and transforming large datasets, leveraging distributed storage and processing systems effectively.Optimized MapReduce jobs and Spark transformations to process structured and unstructured data, achieving a 30% improvement in performance metrics. Designed robust Hive external tables and partitioning strategies to enable efficient query execution and reporting.Implemented schema evolution and data governance practices, enhancing data accessibility and trust across the organization. Leveraged advanced compression algorithms and columnar formats like Avro and Parquet to reduce storage costs and accelerate processing.Created custom Hive UDFs and Spark UDFs for complex transformations, enabling data standardization and enrichment. By integrating real-time dashboards and interactive visualizations, I empowered stakeholders with actionable insights, driving data-driven decision-making across teams.
Rohith N Education Details
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Business Analytics
Frequently Asked Questions about Rohith N
What company does Rohith N work for?
Rohith N works for Blue Cross Blue Shield Association
What is Rohith N's role at the current company?
Rohith N's current role is Senior Data Modeler.
What schools did Rohith N attend?
Rohith N attended California State University - East Bay.
Who are Rohith N's colleagues?
Rohith N's colleagues are Paula Larnaudie Plachot, Tucker Holt, Yvette Beasley, Mha, Pahm, Dtm, Christopher Stevens, Tripp Adams, Bernice Clark, Mojeedat Abdussalaam.
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