Deepthi S.

Data Engineer

California, United States1 yr 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Built scalable data pipelines processing over 2 million events daily.
  • Improved data reliability from 87% to 97% through quality frameworks.
  • Designed KPI dashboards to enhance academic performance tracking.
Stackforce AI infers this person is a Data Engineer with expertise in SaaS and analytics-driven solutions.

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Skills

Core Skills

Data Engineering

Other Skills

TableauPythonSparkKafkadbtData QualityMonitoringData CollectionMicrosoft AzureData ArchitectureStatistical ModelingGitApache SparkData MiningGoogle Cloud Platform (GCP)

About

Call me Dee. I’m an engineer who cares deeply about building systems people can rely on, not just dashboards that look good. I work on scalable ETL pipelines, cloud data warehousing (AWS, Redshift, Snowflake), and SQL performance optimization. But more than tools, I care about structure. Clean data models. Clear contracts. Pipelines that don’t break when things scale. I’m building toward a career at the intersection of Data Engineering, Product, and Strategy, where analytical depth meets real business impact. I love turning ambiguity into structure, data into direction, and insights into decisions teams can actually execute on. I’m motivated by one core principle: Data only matters if it moves people, products, or processes forward. 🔥 What I Do Well: 1) I design data systems, dashboards, and analytical frameworks that help teams: understand what’s working (and what’s not) 2) Forecast outcomes instead of reacting to them 3) Make clearer, faster decisions 4) Operate with more confidence, less guesswork 🚀 Where I’ve Been: At Bosch, I worked on data systems supporting reliability analytics and large-scale telemetry, contributing to production pipelines and diagnostic workflows across engineering teams. At California State University, Long Beach, I developed KPI dashboards to support academic performance tracking and student success analytics. I’ve also mentored and volunteered in technical settings, guiding students in analytics, systems thinking, and career development.🎯 Where I’m Going: I want to join a team where data, product thinking, and ownership matter, a place where I can help build systems that scale and drive measurable outcomes, not just metrics. If you’re building in analytics, data engineering, AI, or operations, I’d love to connect.

Experience

1 yr 6 mos
Total Experience
9 mos
Average Tenure
--
Current Experience

California state university, long beach

Graduate Mentor - Tech

Aug 2024May 2025 · 9 mos · Long Beach, California, United States · On-site

TableauData Engineering

Bosch global software technologies

Data Engineer

Jul 2022May 2023 · 10 mos · India · On-site

  • Involved in building scalable batch and streaming data pipelines processing 2M+ daily events, handling ingestion, metadata joins, and production dataset generation. I productionized pipelines using Python, Spark, and Kafka, ensuring scalability and reliability, and developed dbt-based layered data models to support consistent analytics in a cloud warehouse. I implemented data quality frameworks with validation, monitoring, and schema enforcement, improving reliability from 87% to 97%, and built pipelines to ensure accurate data delivery to downstream systems. I also partnered with product and engineering teams to define metrics and optimize ETL workflows, improving query performance by 40% and enabling faster, data-driven decisions.
PythonSparkKafkadbtData Engineering

Education

California State University, Long Beach

Master's degree — Information Systems

Aug 2023May 2025

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