Open to opportunities

Tirtha Mandal

@tirthamandal

Message

Senior Data Engineer and Solution Architect specializing in scalable cloud-native data platforms.

United States

Message

What I'm looking for

I seek a senior engineering or architect role building scalable, compliant cloud data platforms, leading end-to-end initiatives and cross-functional teams to deliver analytics and ML-ready data.

I am a results-driven Senior Data Engineer and Solution Architect with over 8 years of experience designing, building, and managing scalable, high-performance data infrastructure across cloud-native and on-premises environments. I specialize in architecting modern data lakes and warehouses, building robust ETL/ELT and real-time pipelines, and enforcing data quality and governance in regulated industries such as healthcare.

My hands-on technical toolkit includes Python, SQL, Apache Spark, Airflow, dbt, and cloud platforms like AWS and GCP; I have led end-to-end initiatives (including multi-cloud lakehouses, real-time Kafka/Spark pipelines, and large-scale migrations to Snowflake/Databricks) that reduced latency, improved predictive accuracy, and ensured compliance while lowering costs.

Experience

Work history, roles, and key accomplishments

Current

Sr Data Engineer & Architect

Current

Point C

Sep 2022 - Present (3 years 9 months)

Architected cloud-native lakehouse and data platform solutions for healthcare, reducing data latency by 70% and enabling unified patient analytics that improved readmission prediction accuracy by 30%.

Apache Spark Delta Lake Databricks Snowflake DBT Azure AWS Kafka Airflow

Sr Data Engineer

DIRECTV

Jan 2020 - Dec 2022 (2 years 11 months)

Designed and implemented end-to-end data architectures and ETL workflows, improving ingestion and warehouse performance and enabling real-time Kafka streaming for AI-driven recommendations.

Python SQL Apache Airflow Kafka Snowflake AWS RedShift Docker Data Modeling

Data Engineer

IBM

Sep 2017 - Dec 2019 (2 years 3 months)

Modernized ETL/ELT frameworks and enterprise data warehouse on Db2/Netezza, increasing throughput by 50% and improving data accuracy to 99.9% for regulatory reporting.

Python Pandas Airflow Netezza Tableau Data Governance

Education

Degrees, certifications, and relevant coursework

City University of New York

Master in Computer Science, Computer Science

2020 - 2022

Completed a Master in Computer Science with coursework and projects focused on data engineering, machine learning, and cloud-native data platforms from September 2020 to July 2022.