Open to opportunities

Daniil Usanov

@daniilusanov

Message

Experienced Data Engineer and Python Developer specializing in data pipelines.

United Arab Emirates

Message

What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth, where I can leverage my skills in data engineering and AI technologies.

I am a Data Engineer and Python Developer with over 5 years of experience in designing, implementing, and optimizing robust data pipelines and scalable databases. My expertise lies in SQL and NoSQL databases, ETL workflows, and big data technologies, which I have successfully leveraged to deliver high-quality data solutions.

In my recent role as a Senior Data Engineer, I led a team in developing end-to-end data pipelines for processing large-scale datasets, significantly improving system reliability and performance. I have a proven track record in cloud platforms and have integrated advanced AI-driven applications, enhancing data processing capabilities and ensuring compliance with best practices.

I am dedicated to fostering a collaborative work environment, mentoring junior team members, and continuously improving system architecture. My goal is to contribute to innovative projects that drive data-driven decision-making and enhance operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer/Python Developer

Current

VBRL

Sep 2023 - Present (1 year 10 months)

Led the data collection and analysis team, overseeing the design and implementation of end-to-end data pipelines for processing large-scale datasets (100+ TB) using Apache Spark and Kafka for both batch and streaming workflows. Mentored junior team members, providing code reviews, architectural guidance, and knowledge-sharing sessions to foster professional growth and ensure high-quality code stan

Apache Spark Kafka PostgreSQL MongoDB Redis Neo4j Delta Lake GitHub Actions RBAC

Data Engineer/Python Developer

Startup

Oct 2021 - Aug 2023 (1 year 10 months)

Developed and maintained optimized SQL and NoSQL database solutions (PostgreSQL, MongoDB, Redis) using effective indexing and partitioning strategies to maximize performance for both OLTP and OLAP workloads. Built and managed ETL workflows using Apache Airflow, supporting robust and automated data ingestion, processing, and transformation pipelines across distributed systems. Leveraged Apache Spar

PostgreSQL MongoDB Redis Apache Airflow Apache Spark Kafka Power BI RBAC Encryption MLFlow

Data Engineer/Python Developer

SciRenovation

Apr 2020 - Sep 2021 (1 year 5 months)

Designed ETL processes for scholarly publications, utilizing Apache Airflow for automation, reliability, and ease of maintenance. Implemented relational and NoSQL databases (MySQL, MongoDB) with optimized data models, indexing, and partitioning for enhanced query performance. Developed robust data processing workflows using Apache Spark for scalable, efficient data transformations.