yash malhotra
@yashmalhotra
Google Cloud–certified data engineer building scalable batch and streaming pipelines on GCP.
What I'm looking for
I’m a Google Cloud Certified Professional Data Engineer with around 5 years of experience designing production-grade batch and streaming data pipelines on GCP. I specialize in advanced SQL and scalable distributed processing to deliver analytics-ready datasets under strict SLAs.
At Accenture, I designed scalable SparkSQL ETL pipelines processing 50M+ cross-border transactions daily, serving downstream reporting through BigQuery. I also built near real-time streaming microservices with Apache Kafka, enabling sub-minute data availability for monitoring and reducing case resolution time.
I lead migrations of on-prem datasets to GCP and focus on performance optimization, including dbt-based analytics engineering and data modeling. I’ve implemented Vertex AI agentic workflows for data observability—performing RCA, triggering alerts, and recommending remediations—which significantly reduced incident resolution time.
I enjoy partnering with product, analytics, and business stakeholders in agile environments, translating requirements into technical solutions. I mentor junior engineers through KT and documentation to raise delivery consistency and engineering quality.
Experience
Work history, roles, and key accomplishments
Designed scalable SparkSQL ETL pipelines processing 50M+ cross-border transactions daily, improving VAT regulatory report latency by 60% via BigQuery downstream reporting. Built near real-time Kafka streaming for a query management platform, enabling sub-minute dashboard data and reducing case resolution time by 20%.
Re-architected legacy DB-centric transformations into dbt-style analytics-ready ELT pipelines on BigQuery, orchestrated with Airflow/Cloud Composer, improving query performance and cutting infrastructure costs by 30%. Optimized database components powering ML pipelines for a US healthcare company, supporting 15% growth in recurring customers.
Education
Degrees, certifications, and relevant coursework
Delhi Technological University
Bachelor of Technology
2017 - 2021
Activities and societies: Academic project/thesis on predicting Water Quality Index (WQI) using regression models with EDA and feature engineering; evaluated with XGBoost and Random Forest (MAE 1.96, RMSE 2.68).
Earned a Bachelor of Technology at Delhi Technological University from 2017 to 2021.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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