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Tanzeel Iqbal

@tanzeeliqbal

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Senior Data Engineer specializing in Databricks on Azure/AWS, building end-to-end governed ETL/ELT pipelines.

India

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What I'm looking for

I’m looking for a Senior Data Engineering role where I can build governed Databricks lakehouse pipelines, automate CI/CD, strengthen Unity Catalog–based security, and improve reliability through data observability—while partnering closely with stakeholders in an agile environment.

I’m a Senior Data Engineer with over 7 years of industry experience, evolving from data analytics into architecting cloud-agnostic enterprise platforms. I specialize in the Databricks Lakehouse ecosystem across Azure & AWS, with a focus on end-to-end Medallion architectures that turn raw data into actionable insights.

In my recent role, I modernized a remote platform and governance layer by transitioning to Airflow 3.0, implementing Unity Catalog and unified RBAC, and building metadata-driven ELT pipelines with Kafka, Spark, and Airflow. I’ve also driven operational excellence by reducing downtime to near 0% and cutting incident response times by 50% through proactive alerting and a unified data observability framework.

I bring a strong compliance mindset—achieving “100% GDPR and regulatory compliance” through an automated encryption/decryption lifecycle framework, with “zero security breaches of sensitive PII.” Earlier, I engineered low-latency IoT streaming on Azure, built AWS-native monitoring for large fleets, and operationalized an LLM-powered agent to automate 100+ hours of manual work annually.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer II

Five Below

May 2024 - Mar 2026 (1 year 10 months)

Modernized the enterprise Databricks-based data platform by transitioning to Airflow 3.0 and GitHub Enterprise while implementing Unity Catalog and a unified RBAC framework, achieving near 0% downtime. Built metadata-driven ELT pipelines to process millions of records, and implemented automated encryption/decryption to achieve 100% GDPR/regulatory compliance with zero sensitive PII security breach

Databricks Unity Catalog Apache Airflow Apache Kafka Pyspark DBT ELT GDPR Compliance Data Observability RBAC

Data Engineer

OnePercentStartups

Mar 2022 - May 2024 (2 years 2 months)

Engineered an industrial-grade Azure IoT streaming platform, reducing equipment downtime by 22% while achieving sub-second latency for 1k+ events/sec. Developed an AWS-native monitoring platform to improve operational response time by 35%, and integrated REST APIs for remote fleet management (restart/power/update).

Pyspark Kafka AWS Glue Athena Redshift Concepts REST APIs Data Modeling Monitoring

Operations Analyst

Flo Sleep Solutions

Nov 2020 - Mar 2022 (1 year 4 months)

Used Python and Excel advanced analytics to improve nationwide operations, increasing production efficiency by 50% and reducing stock-out incidents by 80%. Maintained a 100% order fulfilment rate and supported 2–5% month-on-month growth through process optimization and identification of new business opportunities.

Python Excel Operations & Analytics Process Optimization KPI Tracking Forecasting Data Cleaning Automation Business Process Improvement

Business Analyst

Hyperon Technologies

Mar 2018 - Nov 2020 (2 years 8 months)

Designed and deployed GST compliance software with UAT and change management, automating regulatory workflows and improving system scalability. Developed AI-driven predictive models for real-time traffic optimization and engineered an RFID-based toll collection system with real-time data processing to reduce transaction delays and improve infrastructure efficiency.

Regulatory Workflows Predictive Analytics Real time Data Processing Business requirements analysis Scalability Data Modeling