Hemail Askary

Architected and implemented scalable ETL/ELT and event-driven data integration patterns using Kafka, BigQuery, and Python, processing 10M+ daily records from batch and real-time sources while ensuring traceability and operational reliability. Architected a lakehouse-based Medallion Architecture (Bronze–Silver–Gold) with schema validation, data quality controls, data contracts, and idempotent processing, reducing data discrepancies by 35%. Defined enterprise data architecture standards including data modeling conventions, dataset organization, partitioning strategies, and reusable data products to support analytics, reporting, and AI-driven business use cases.

Senior Analytics Engineer at HT Digital Streams Ltd. (2025-03 – Present)

• Architected and implemented scalable ETL/ELT and event-driven data integration patterns using Kafka, BigQuery, and Python, processing 10M+ daily records from batch and real-time sources while ensuring traceability and operational reliability.
• Architected a lakehouse-based Medallion Architecture (Bronze–Silver–Gold) with schema validation, data quality controls, data contracts, and idempotent processing, reducing data discrepancies by 35%.
• Defined enterprise data architecture standards including data modeling conventions, dataset organization, partitioning strategies, and reusable data products to support analytics, reporting, and AI-driven business use cases.
• Designed logical and physical analytical data models in BigQuery, implementing dimensional modeling patterns, partitioning, and clustering strategies that reduced query latency by 50% and lowered cloud compute costs by $2k+ annually.
• Engineered 50+ Airflow DAGs for orchestration, monitoring, and SLA tracking, automating highly scalable data pipelines to ensure zero-lag data delivery for downstream BI and analytics reporting.
• Spearheaded an AI-powered content analytics platform leveraging LLM-derived features accelerating the delivery of audience insights from 4 days to under 4 hours.
• Developed semantic datasets and analytical models, enabling self-service reporting and faster insights across editorial and product teams.
• Established data lineage, monitoring, and SLA frameworks across batch and streaming pipelines, improving auditability, troubleshooting efficiency.

Lead Analytics Engineer at Zupee (2024-07 – 2025-03)

• Built automated API pipelines for Google/Facebook Ads into a unified repository.
• Analyzed campaign impact revealing 45% reactivation, reducing CAC by 30%.
• Maintained 99% ETL SLA via automated monitoring and alerting.

Analytics Engineer at Bizongo (2022-04 – 2024-07)

• Engineered AWS ETL pipelines reducing processing time by 30% and errors by 20%.
• Optimized Redshift performance via Dimensional model, cutting storage costs 40%.
• Implemented CI/CD, achieving 99.9% uptime and 60% faster deployments.
• Delivered fraud detection initiatives identifying $1M+ annual savings.

Senior Business Analyst at Bizongo (2019-04 – 2022-04)

• Automated order allocation, boosted adherence to 87%, cutting manual effort
• Consolidated 100+ reports into 10 enterprise-grade Tableau dashboards, establishing robust data architecture and automated schedule cutting ad-hoc requests by 50%.

Executive at Bhushan Steel Ltd. (2015-06 – 2017-04)

• Optimized inventory efficiency and plant operations through data-driven analysis.

PGDM in Operations and IT Analytics – IMT Ghaziabad (2017-04 – 2019-03)

B. Tech in Mechanical Engineering – National Institute of Technology, Raipur (2011-04 – 2015-03)