Sai Krishna
@saikrishna10
Data engineer specializing in large-scale ETL, Spark, and cloud analytics for telecom and enterprise systems.
CanadaWhat I'm looking for
I am a results-driven data engineer with extensive experience designing and operating large-scale ETL and analytics platforms using PySpark, Databricks, Airflow and Azure/AWS. I have built and optimized pipelines processing tens of terabytes daily, implemented data-quality frameworks, and reduced compute and operational costs while improving reliability for telecom and enterprise stakeholders.
I have led legacy-modernization projects, created high-performance APIs and real-time CDC solutions, and enabled self-service analytics across business units. I seek to apply my technical depth in cloud data engineering, orchestration, and observability to deliver scalable, reliable data products that drive business value.
Experience
Work history, roles, and key accomplishments
RCOrchestrated 200+ Airflow DAGs and built Databricks PySpark pipelines processing 50TB+ daily telecom data, improving processing efficiency 65% and reducing compute costs by $25K/month while ensuring 99.9% pipeline reliability.
BCData Developer (Contract)
Bell Canada
Nov 2019 - Apr 2021 (1 year 5 months)
Led modernization by migrating COBOL ETL to Python/Apache Beam pipelines reducing processing time 70%, built FastAPI services serving 10K+ requests/min with 99.9% uptime, and implemented data quality frameworks raising accuracy to 99.5%.
Built NiFi ingestion pipelines consolidating 20+ data streams into a centralized data lake and automated Airflow-scheduled extraction scripts, eliminating 15 manual hours weekly and improving report query times by 80%.
Education
Degrees, certifications, and relevant coursework
UOUniversity of Ottawa
Master of Data Science, Data Science
Completed a Master of Data Science (MDTI) program focusing on data engineering, analytics, and scalable data processing.
Availability
Location
CanadaAuthorized to work in
Job categories
Skills
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