Position: Data Engineer
Category: Data Engineer
English level: intermediate
Years of experience: 3

Oracle Certified Professional - Oracle 10g Database Administrator;
Learning Hadoop, Issuing authority: LinkedIn.
Python programming, Issuing authority: Stepik, Issued Aug 2021
Apache Spark Essential Training: Big Data Engineering, Issuing authority: LinkedIn.
Scala Essential Training, Issuing authority: LinkedIn.
Data Engineer, Tallinn, Estonia
In this role, I collaborate with an international team, navigating through multiple time zones and remote work environments to design and implement data projects for large-scale U.S. businesses. My core responsibilities and achievements include:
• I've spearheaded the development of an app leveraging Large Language Models and Neural Search frameworks, such as Haystack and Langchain, for advanced question-answering systems. I've also utilized OpenSearch for efficient data management, and actively stayed updated with shifts in the NLP and LLM ecosystem, ensuring our applications always remain at the forefront of technological innovation.
• I've created and maintained data solutions for both internal requirements and customer-facing production systems, striking a balance between organizational needs and client satisfaction.
• Assessing the potential of Apache Airflow and Airbyte, I've been instrumental in deploying these tools in a Kubernetes cluster. By integrating data from diverse source systems into Snowflake, our cloud data warehouse, I've facilitated the creation of data views crucial for our BI tools.
• My contributions extend to developing a system that collects and processes data using REST API endpoints and Apache Spark. I've published this data using Kafka, and ensured its successful push into Snowflake, further improving our data processing pipeline.

Data Engineer, Kazakhstan
In this role, I worked as a Big Data Engineer helping the customer in building a cloud-based corporate data lake to decrease time-to-market for new data products and also enable costs savings due to data pipelines automation and usage of cloud computing resources. 
• I used Python, SQL, and Spark to collaborate with data engineers to create a cloud-first ETL pipelines, ingesting data across disparate sources using Apache Airflow and AWS Elastic MapReduce. I also worked with AWS Athena, AWS S3 and AWS Glue for data stores. 
• I analyzed different aspects of data, fixed the issues and worked on improving the performance of data fetch jobs.

Java Developer, Kyrgyzstan
In this role, I developed production fixes and application enhancements and provided production support to CRM and microservices platform.

Senior DBA, Data Engineer, Kyrgyzstan
In this role, I used oracdc & Kafka Connector's for near real-time data integration and replication;
### I am considering offers with a location only in Estonia! ###

As a highly experienced Data Engineer with over 15 years in the IT industry, I have honed my skills in fintech and telecommunications services companies. I am passionate about tackling challenges and am eager to continue building my career and expanding my expertise in the fields of Data Engineering and DataOps.