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Kamaljit Singh

@kamaljitsingh1

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Lead Data Engineer specializing in cloud-native data architecture, pipelines, and MLOps.

United States

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What I'm looking for

I seek a senior/cloud data engineering role where I can lead data platform architecture, drive MLOps and governance, mentor teams, and deliver scalable, cost-efficient analytics solutions.

I am a Lead Data Engineer with 8+ years of experience architecting and building cloud-native data solutions across healthcare, fintech, e-commerce, and energy.

I design and implement scalable data pipelines, real-time streaming, and data lakes using AWS, Azure, GCP, Apache Spark, Kafka, Flink, and dbt to deliver business-aligned analytics and ML capabilities.

I lead cross-functional teams, mentor engineers, and drive cloud migrations and MLOps adoption, having managed teams and delivered measurable improvements in latency, throughput, and cost optimization.

I champion data governance, compliance, and automation—implementing solutions with Monte Carlo, Great Expectations, Terraform, and containerized deployments to ensure secure, reliable, and efficient data platforms.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Centric Consulting

Feb 2023 - Present (3 years)

Architected and led end-to-end AWS data pipelines using Glue and Redshift to process 10TB+ daily, reduced latency 30% and improved throughput 40% while managing an 8-engineer team and cutting cloud costs 25%.

AWS Glue Amazon Redshift Apache Flink Apache Kafka Terraform Docker MLFlow Data Governance Team Leadership

Senior Data Engineer

KPMG

May 2020 - Jan 2023 (2 years 8 months)

Designed and deployed cloud-native Azure data architectures with Synapse and Databricks for petabyte-scale fintech data, migrated legacy systems to Snowflake reducing query times 40% and delivered real-time streaming solutions.

Azure Synapse Databricks Apache Kafka Snowflake DBT Apache Spark Azure Data Factory Power BI

Data Engineer

Certa

Apr 2017 - Dec 2018 (1 year 8 months)

Built GCP-based data pipelines with Spark and Flink processing 5TB+ daily, created BigQuery data lakes and integrated Kafka/Pub/Sub to improve pipeline throughput 35% and enable real-time analytics.

Google BigQuery Apache Spark Apache Flink Google Cloud Storage Apache Kafka Pub Sub Looker Power BI

Junior Data Engineer

Mountainise

Oct 2015 - Feb 2017 (1 year 4 months)

Supported ETL pipeline development with Python and SQL, assisted on-premise to AWS migrations and developed data models to centralize reporting and improve data access for clients.

Python SQL ETL Data Modeling Data Governance Reporting