Open to opportunities

Syeda Yasir

@syedayasir

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Results-driven Senior Data Engineer with expertise in cloud-native data platforms.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in data engineering and machine learning.

I am a results-driven Senior Data Engineer with over 10 years of experience in building scalable, cloud-native data platforms and machine learning pipelines across AWS, Azure, and Databricks. My expertise lies in batch and stream processing, orchestration, and productionizing ML workflows, utilizing tools such as Apache Spark, Airflow, and dbt. I am passionate about leveraging technology to drive business impact and improve data reliability and automation.

Throughout my career, I have successfully led cross-functional teams in designing and implementing robust data architectures, significantly improving processing throughput and reducing data delivery latency. My role at Monte Carlo involved spearheading the migration of legacy systems to modern cloud solutions, resulting in substantial cost savings. I take pride in mentoring engineers and fostering a culture of collaboration and innovation, ensuring that best practices in data governance and quality are upheld across the organization.

Experience

Work history, roles, and key accomplishments

Current

Staff Data Engineer

Current

Monte Carlo

Jan 2022 - Present (3 years 6 months)

Spearheaded the design and implementation of scalable, cloud-native data pipelines using Apache Spark, Delta Lake, and Databricks, improving processing throughput by 30%. Led cross-functional architecture decisions and built robust ELT workflows using Apache Airflow and dbt, supporting advanced analytics and ML initiatives.

Apache Spark Delta Lake Databricks Apache Airflow DBT Kafka AWS Glue Azure Synapse Snowflake Prometheus Grafana MLFlow Great Expectations Unity Catalog GitHub Actions)MLOps

Senior Data Engineer

System1

Mar 2018 - Dec 2021 (3 years 9 months)

Designed and implemented scalable data pipelines supporting AI/ML workloads using Apache Spark, Databricks, and Delta Lake across Azure and AWS environments. Architected and maintained feature stores and vector databases (FAISS, ChromaDB) to support RAG pipelines and LLM integration with LangChain.

Apache Spark Databricks Delta Lake Azure AWS Faiss ChromaDB Lang Chain GitHub Actions)Terraform Docker MLFlow Evidently AI fastAPI XGBoost Logistic Regression A B Testing MLOps

Data Engineer

InsightTech Solutions

Jul 2015 - Apr 2018 (2 years 9 months)

Built batch and streaming pipelines using PySpark, Airflow, and Kafka, handling 5TB+ monthly data ingestion. Modeled data into star schemas and dimensional models for analytics and BI using Power BI and SQL.