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Kinjal Goswami

@kinjalgoswami

Message

Data Engineer building scalable ETL/ELT pipelines and data warehouses with SQL excellence.

India

Message

What I'm looking for

I’m looking for a Data Engineering role where I can design scalable ETL/ELT and data warehousing, use complex SQL end-to-end, and optimize performance to deliver analysis-ready datasets for analytics and BI.

I’m a Data Engineer focused on designing and implementing scalable ETL/ELT pipelines and robust data warehousing solutions. I transform raw data into analysis-ready formats, with a strong emphasis on high data quality and integrity.

At LatentView Analytics, I design and build robust, multi-layered data pipelines that turn raw data into reliable, actionable insights. I solve challenging data problems by mastering complex SQL for in-depth analysis, handling the full query lifecycle from writing and debugging to optimizing intricate queries for accuracy and efficiency.

I’m passionate about building efficient, automated systems that serve as the backbone for analytics, science, and BI—especially by optimizing data flows and performance. Previously, I’ve also led client-facing and QC efforts, managing projects and ensuring websites are error free and aesthetically pleasing.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

LatentView Analytics

Oct 2022 - Present (3 years 8 months)

Designed and built robust, multi-layered ETL/ELT data pipelines to transform raw data into reliable, analysis-ready insights. Wrote, debugged, and performance-tuned complex SQL queries to improve accuracy and efficiency.

ETL ELT Data Pipelines Data Warehousing Complex Queries Debugging Performance Tuning Google BigQuery MySQL Data Quality Data Analysis Data Visualization

Education

Degrees, certifications, and relevant coursework

Great Lakes Institute of Management

Post Graduate Diploma, Data Science and Engineering

2022 - 2022

Completed a Post Graduate Diploma in Data Science and Engineering, building multi-layered data pipelines and mastering complex SQL for analysis and troubleshooting. Focused on the full SQL query lifecycle to improve accuracy and efficiency.