Dhruv Parmar
Senior Data Specialist @Co-operators
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WORK HISTORY
Senior Data Specialist @Co-operators
ON, CA
Leveraged highly efficient data extraction, cleaning, and reconciliation techniques using Python, PySpark, and Azure/AWS cloud services, consistently delivering high-quality, analytics-ready datasets to downstream business stakeholders- Designed and implemented scalable data solutions using Azure PaaS, including Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), Synapse Analytics, and Azure SQL, ensuring compliance with CGL governance and security guidelines- Developed Infrastructure-as-Code solutions using Terraform for provisioning, scaling, and automating Azure resources, while orchestrating deployment pipelines through GitHub Actions and CircleCI for continuous integration and delivery of data products- Integrated automated data quality checks, alerting/monitoring in Databricks and Spark environments to proactively address anomalies, ensuring reliable and trusted data for analytics and reporting- Created semantic models and APIs to serve curated data to Power BI dashboards and reporting tools, reducing time-to-insight and enabling business self-service- Partnered with cross-functional teams to understand BI and data analytics requirements, led technical discussions, and translated business needs into scalable, performant technical solutions- Configured and maintained role-based access, secrets management (Azure Key Vault), and network security components (VNets, private endpoints), adhering to industry best practices and internal security frameworks- Reduced data processing time and infrastructure costs by optimizing Spark jobs and tuning storage strategies, implementing resource monitoring and dynamic scaling- Built distributed dataflows, collaborating on ML pipeline enablement in Databricks and Azure ML, supporting advanced analytics- Provided code reviews, pair programming sessions, and technical guidance to team members, driving adoption of best practices in coding, testing, and data governance.
EDUCATION
Birla Vishvakarma Mahavidyalaya
Bachelor of Engineering - BE
University of West London
MSc Software Engineering
ABOUT DHRUV PARMAR
Hi, I’m Dhruv – AWS and Azure Certified Python Developer & Cloud Engineer with over 4 years of hands-on experience in backend development, data engineering, and cloud-native architecture. I help businesses scale their tech through robust microservices, efficient data pipelines, and automation on platforms like AWS and GCP. I specialize in: Python Backend Development • RESTful APIs with Flask, FastAPI, Django • Microservices & event-driven architecture (Celery, Redis, EventBridge) • Test-Driven Development (PyTest), secure OAuth2 integration, versioned API design Cloud Infrastructure & DevOps (IaC) • AWS: Lambda, EC2, RDS, S3, Glue, CloudWatch, EKS, ECS, ECR, EventBridge • GCP: Pub/Sub, Dataflow, GKE, BigQuery, Cloud Functions • Infrastructure as Code: Terraform, AWS CloudFormation • Docker, Kubernetes, CI/CD pipelines (CircleCI, GitHub Actions) Data Engineering & ETL Pipelines • ETL workflows using Python, Pandas, Spark, PySpark • Optimized data processing for actuarial and pension data • Integration with Snowflake, PostgreSQL, MongoDB • Data visualization & reporting using Grafana, Dashboards Machine Learning & MLOps • Model development using Scikit-learn, TensorFlow, Keras, Transformers • Feature engineering, optimization, deployment, and monitoring • Real-time ML pipelines on GCP (LSTM autoencoders, anomaly detection) • ML lifecycle management, model versioning, and retraining workflows Recent Projects: Designed a production-ready microservices backend for a financial analytics platform using Flask & AWS Lambda Reduced data processing time by 40% through optimized ETL for pension schemes Built real-time robotic anomaly detection using LSTM models on GCP, with full CI/CD automation Delivered automated backup & testing system for financial data – cutting manual overhead by 80% Why Work With Me? • Agile, delivery-focused mindset • Excellent cross-functional and client communication • Strong documentation habits and clean, maintainable code • Fast turnaround with full transparency Ready to collaborate on your next Python, data, or cloud project? Let\'s talk!
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