Data & Software Engineer with 5+ years building reliable data infrastructure at scale. Specialized in real-time streaming systems, ML pipelines, and cloud data platforms. Experience spanning backend engineering to data platform architecture — with a track record of shipping systems that run quietly in production while teams focus on what matters.
Experience
Senior Data Engineer
Current Company
- →Designed and deployed real-time ingestion pipeline handling 12M+ events/day with 99.97% uptime
- →Built ML feature store unifying 40+ features across 8 production models, reducing computation time by 63%
- →Led architecture review for streaming infrastructure migration to AWS MSK
Data Engineer
Previous Company
- →Migrated 10TB+ data warehouse from Redshift to Snowflake with zero downtime and 41% cost reduction
- →Built ETL orchestration platform with Airflow managing 120+ DAGs in production
- →Reduced pipeline failures by 78% through comprehensive monitoring and alerting
Backend Engineer
Early Career
- →Built REST APIs and data ingestion services in Python/FastAPI
- →Contributed to migration of monolithic services to microservices architecture
- →Started moving into data engineering through ETL and batch processing projects
Education
MSc Computer Science
Thesis: Stream Processing Performance in Distributed Systems
Skills
Languages
PythonTypeScriptSQLScala
Data & Streaming
Apache SparkApache KafkaApache FlinkAirflowdbt
Cloud
AWS (EMR, MSK, S3, Glue, Lambda)GCP (BigQuery, Dataflow)Terraform
Infrastructure
DockerKubernetesCI/CD (GitHub Actions)PrometheusGrafana
Databases
PostgreSQLSnowflakeRedshiftDynamoDBRedis
ML & AI
Feast (Feature Store)MLflowLangChainOpenAI API
Interested in working together?
Open to the right opportunities — interesting problems, strong teams.
Get in touch