Paras, data engineer

Paras

Data Engineer

Wrocław, Poland · Europe/Warsaw (UTC+2) · 6 years of experience

Paras focuses on dependable data products with tested transformations, lineage, and freshness controls.

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Why this profile fits

Trustworthy data products

Defines contracts, tests, ownership, lineage, and freshness expectations for data used by teams and models.

Scalable processing

Chooses batch, streaming, and storage patterns around volume, latency, recovery, and operating cost.

Operable pipelines

Designs idempotent jobs, backfills, alerting, and incident procedures rather than treating a successful first run as done.

Relevant toolkit

SQLPythondbtSparkAirflow

Delivery evidence

Selected work

Service Scaffold Copilot

cloud infrastructure

Designed and delivered a production data platform focused on developer-facing AI tools; cut internal service scaffold time from two days to 35 minutes with policy-aware generation. The release included tested transformations, lineage, freshness SLOs, backfill procedures, and cost monitoring.

SQLPython

Infrastructure Change Explainer

cloud infrastructure operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

SQLSpark
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Relevant experience

Career timeline

Data Engineer

2024–Present

Devlyn client assignments · Remote

  • Led developer-facing AI tools delivery for a cloud infrastructure team and cut internal service scaffold time from two days to 35 minutes with policy-aware generation.

Software Engineer

Jan 2024–Present

ViitorCloud Technologies · Wrocław, Poland

  • Built production systems in cloud infrastructure, with increasing ownership of reliability, testing, and stakeholder delivery.

Senior Frontend Web Developer

Mar 2022–Jan 2024

LogicRays Technologies Pvt. Ltd. · Wrocław, Poland

  • Built production systems in cloud infrastructure, with increasing ownership of reliability, testing, and stakeholder delivery.

Skill depth

Show experience in context.

VerbalCommunicationDomainUnderstandingProblemSolvingCodeQualitySystemDesignDeliverySpeed
Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

SQL6 years
Python5 years
dbt4 years
Spark3 years
Airflow6 years
Data Modeling5 years
See the complete skill index

Languages

PythonTypeScriptSQLBash

Frameworks

PythondbtSparkKafkaFlinkGreat Expectations

Tools

TerraformDockerDagsterGitHub ActionsDocker

Platforms

DatabricksSnowflakeBigQueryAWS

Storage

Delta LakeSnowflakeBigQueryPostgreSQL

Paradigms

Data contractsMedallion architectureStreaming pipelinesData observability

Credentials

Certifications

dbt Analytics Engineering Certification

dbt Labs · 2024 · Certified

SnowPro Advanced: Data Engineer

Snowflake · 2023 · Certified

Communication

Languages

English

Fluent

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