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Saqib Farooq

@saqibfarooq1

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Senior Data Engineer specializing in cloud-native data architectures and scalable analytics.

United States

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What I'm looking for

I seek a senior data engineering role building scalable cloud data platforms, focusing on architecture, automation, governance, and mentoring in a collaborative, growth-oriented environment.

I am a Senior Data Engineer with over 8 years of experience designing and operating cloud-native data ecosystems across Azure, AWS, and GCP. I specialize in building scalable ETL/ELT pipelines, lakehouse architectures, and real-time streaming solutions that turn raw data into trusted, analytics-ready assets.

I have a proven track record modernizing legacy systems, improving performance, and delivering cost savings—optimizing Spark compute to reduce cluster costs by 50% and reducing data latency by 40% with redesigned pipelines. I implement robust data governance, observability, and compliance frameworks, including Microsoft Purview integrations to achieve full lineage and GDPR compliance.

My hands-on technical skill set spans Databricks, Snowflake, Synapse, Redshift, Kafka, Airflow, dbt, and a broad cloud toolset (Azure Data Factory, AWS Glue, GCP BigQuery), complemented by infrastructure-as-code and CI/CD practices. I also mentor engineers and develop training materials to elevate team capabilities.

I partner with cross-functional stakeholders to deliver business-driven data products, drive automation, and enable actionable intelligence through reliable, performant data platforms.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Confiz

Aug 2023 - Present (2 years 3 months)

Designed and implemented enterprise-scale data pipelines using Azure Synapse, Databricks, and Data Factory, improving data freshness and reducing latency by 40%; optimized Spark performance to achieve 50% cost savings and led data governance to achieve GDPR compliance.

Azure Synapse Databricks Azure Data Factory Apache Spark Kafka Microsoft Purview Performance Tuning

Data Engineer

Capgemini

Jun 2020 - Jul 2023 (3 years 1 month)

Built scalable data lakes and ETL pipelines using Hadoop, Hive, and Spark for datasets >50TB, automated ingestion with NiFi and Airflow reducing manual intervention by 30%, and implemented hybrid warehousing with Redshift and Azure SQL DW.

Hadoop Hive Apache Spark NiFi Apache Airflow AWS RedShift Data Quality Python

Data Analytics Specialist

Accenture

Sep 2017 - May 2020 (2 years 8 months)

Engineered data models and pipelines for investment risk and portfolio analytics, automated multi-source ingestion to accelerate data availability, and tuned ETL/reporting layers to improve query response times by 35%.

Python SQL Data Modeling ETL Performance Tuning Governance Tableau Data Ingestion

Associate Data Engineer

Tkxel

Mar 2015 - Aug 2017 (2 years 5 months)

Supported ETL workflow development using Talend and Python, assisted migration of legacy SQL Server systems to AWS Redshift to improve scalability and performance, and authored documentation to standardize engineering practices.