Sneha K
Senior Data Engineer @Trader Interactive
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WORK HISTORY
Senior Data Engineer @Trader Interactive
Virginia Beach, VA, US
Architected and owned end-to-end cloud data platform on AWS and Snowflake, supporting executive reporting and large-scale analytics workloads.• Designed scalable ETL/ELT pipelines using Apache Airflow and PySpark, reducing processing runtime by ~50% and improving reliability.• Led migration from Amazon Redshift to Snowflake, improving query performance by 40%+ and optimizing compute/storage costs.• Designed and implemented dimensional data models (Star Schema, Fact/Dimension tables, SCD Type 2) to support BI and self-service analytics.• Built high-performance Snowflake data marts powering executive dashboards and KPI reporting in Power BI.• Implemented enterprise-grade data quality frameworks, automated validation checks, and monitoring across revenue-impacting datasets.Designed Snowflake warehouse sizing strategy and auto-suspend policies to optimize cost governance.• Implemented partitioning, clustering keys, and performance tuning strategies for large-scale datasets.• Built data observability and alerting systems using CloudWatch and pipeline-level monitoring.• Led root cause analysis for critical production incidents impacting executive dashboards.• Standardized KPI definitions and metrics layer for Analytics and BI teams to ensure consistent reporting across business units.• Optimized SQL queries and warehouse configurations in Snowflake to improve dashboard performance and concurrency handling.• Built Power BI dashboards for executive stakeholders, enabling operational visibility and reducing manual reporting efforts by 60%.• Implemented CI/CD best practices for data pipelines including version control, testing, and deployment workflows.• Mentored junior engineers on pipeline design, performance tuning, data modeling best practices, and BI enablement strategies.Tech Stack: Snowflake, AWS (S3, Glue), Airflow, PySpark, SQL, Power BI, Dimensional Modeling, Data Governance, ETL/ELT, CI/CD
EDUCATION
Sri Chaitanya Junior Colloge
High School
Osmania University
Bachelor’s Degree, Electrical, Electronics and Communications Engineering
Oklahoma Christian University
Master’s Degree, Engineering Management
St.Anthony's High School
High School
SKILLS
ABOUT SNEHA K
I am a Senior Data Engineer specializing in designing scalable cloud data platforms and analytics ecosystems that power business-critical decisions. With 8+ years of experience in distributed data processing and modern data warehousing, I architect high-performance ETL/ELT pipelines, dimensional models, and BI-ready data systems on AWS and Snowflake.At Trader Interactive, I own end-to-end data architecture — from ingestion to analytics enablement. I led the migration from Redshift to Snowflake, improving query performance by 40%+ and reducing long-term compute costs. I designed fault-tolerant Airflow workflows and PySpark pipelines that reduced processing runtime by ~50%, while implementing enterprise-grade data quality and governance frameworks across revenue-impacting datasets.My work sits at the intersection of Data Engineering and Analytics Engineering. I design scalable fact/dimension models (SCD Type 2), standardize KPI definitions, and enable self-service BI through trusted data layers that support executive dashboards and operational reporting. I partner closely with Product, Analytics, and Business stakeholders to translate complex requirements into reliable, performance-optimized data solutions that drive measurable outcomes — including multi-million-dollar business impact through improved customer behavior analytics and churn reduction initiatives.Core expertise includes:Data Architecture, Snowflake, AWS (S3, EC2, Lambda,Cloudwatch, Glue), Airflow, PySpark, SQL Optimization, Distributed Processing, Dimensional Modeling, Data Warehousing, ETL/ELT, Data Governance, CI/CD for Data Pipelines, Performance Tuning, and Analytics Enablement,Power BII am passionate about building modern data platforms that are scalable, observable, cost-efficient, and aligned with business strategy. I am currently seeking senior-level Data Engineering or Analytics Engineering roles where I can lead platform design, strengthen data reliability, and enable organizations to make confident, data-driven decisions.
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