Open to opportunities

Intizar Gill

@intizargill

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Data Engineering Lead specializing in scalable cloud pipelines, real-time streaming, and ML-ready data platforms.

United States

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What I'm looking for

I’m looking to lead cloud data platform builds—scalable pipelines, real-time streaming, and ML-ready datasets—while driving data governance, quality, and automation. I want to mentor strong teams and deliver measurable performance gains.

I’m a results-driven Data Engineering Lead focused on building and optimizing scalable data pipelines and platforms. I bring a strong track record of delivering production-grade systems—spanning data engineering and ML-ready experiences—with measurable business impact through optimization and automation.

I architect distributed data pipelines to power scalable analytics and data-driven products, leveraging cloud-native services like BigQuery, Dataflow, Pub/Sub, and VertexAI. I also lead machine learning pipeline development to enhance analytics and recommendation systems using TensorFlow.

I’ve designed and optimized real-time and batch architectures on AWS with Kafka and Spark, improving processing efficiency and reducing infrastructure costs. I’m hands-on with modern data platforms and warehouses (including Snowflake and BigQuery) while strengthening ETL/ELT workflows to reduce latency and improve reliability.

I take data governance and quality seriously—building monitoring, alerting, lineage, and compliance frameworks to support dependable decision-making. I enjoy mentoring and leading global teams, setting technical standards and delivery best practices that keep engineering teams performing at their best.

Experience

Work history, roles, and key accomplishments

Current

Data Engineering Lead

Current

Xoriant

Feb 2024 - Present (2 years 4 months)

Led the design and delivery of large-scale data platforms supporting real-time and batch processing for global, high-volume datasets. Architected distributed pipelines with BigQuery, Dataflow, and Pub/Sub, and advanced ML pipelines using Vertex AI and TensorFlow.

BigQuery Dataflow Pub Sub Vertex AI TensorFlow Machine Learning Pipelines Team Leadership Data Pipelines

Senior Data Engineer

TechNovaSolutions

Jun 2021 - Jan 2024 (2 years 7 months)

Designed and implemented scalable AWS cloud data lake architecture, improving processing efficiency and reducing infrastructure costs. Built real-time and batch pipelines with Kafka, Spark, and Snowflake, and implemented governance and quality monitoring to ensure reliability and regulatory compliance.

AWS Kafka Apache Spark Snowflake Data Governance Data Quality Performance Tuning

Data Platform Engineer

DataFlowInc

Mar 2017 - May 2021 (4 years 2 months)

Worked remotely to support distributed platform operations and delivery. Led migration of an on-premises data warehouse to BigQuery, developed Python/Airflow data pipelines, and built Kafka/Spark streaming architectures while collaborating with data scientists to deploy ML solutions.

Python Airflow BigQuery Kafka Data Migration

Data Engineer

InfoTechSystems

Aug 2015 - Feb 2017 (1 year 6 months)

Built and maintained ETL pipelines using SSIS and Talend to support enterprise reporting and BI needs. Designed and optimized relational database schemas and SQL queries, contributed to a centralized data warehouse migration, and implemented data security controls and pipeline documentation.

SSIS Talend SQL ETL Development Relational Databases Data Warehouse BI Reporting