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Hey there, I'm

DundiVamsi V

Senior Data Engineer

4+ years building scalable data pipelines on AWS, Snowflake & Databricks. I transform raw data into analytics-ready solutions that drive real business decisions.

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dundi.vdr@gmail.com LinkedIn Profile India
DundiVamsi V
⚡
4+ Years Data Engineering
☁️
AWS Expert Cloud Certified
4+
Years Experience
3
Roles Held
10+
Technologies
2
Countries Worked In
Technical Arsenal

Skills & Technologies

A curated set of tools and platforms I use to build reliable, high-performance data systems.

Programming & Query
PythonSQLPySpark
Big Data Technologies
Apache SparkDatabricksHiveHadoopYarnSqoop
Cloud & Data Platforms
AWS S3GlueAthenaLambdaEC2EMRCloudWatchSNS
Data Warehouse
Snowflake
Transformation & Modelling
DBTData ModellingData IntegrationMedallion Architecture
ETL & Orchestration
Apache AirflowETL DevelopmentBatch ProcessingPipeline Dev
Tools & DevOps
GitJiraJenkins
Data Quality & Governance
Data ValidationMetadata ManagementData LineageQuality Checks
Career Journey

Work Experience

A track record of building data infrastructure that scales.

Data Engineer
A.R.M Technologies Ltd
Oct 2023 – Nov 2025 Bournemouth, United Kingdom
  • Transformed datasets within Silver and Gold layers of the Medallion architecture using Snowflake with DBT.
  • Developed complex DBT transformation models for data cleaning, deduplication, standardisation, and integration.
  • Built scalable Silver layer tables and designed Gold layer models generating business-ready insights and aggregated metrics.
  • Implemented incremental processing with Apache Airflow DAGs for efficient workflow orchestration.
  • Applied rigorous data quality checks and optimised query performance for large-scale processing.
  • Managed version control and deployments using Git across cross-functional teams.
SnowflakeDBTAWS S3Apache AirflowMedallion ArchitectureSQL
Data Engineer
Confianza Technologies
May 2022 – Sep 2023 Belfast, North Ireland, UK
  • Built scalable pipelines for large retail sales datasets in AWS S3 data lake using Glue ETL jobs.
  • Implemented PySpark transformations in Databricks — filtering, aggregations, joins, deduplication of high-volume transactions.
  • Optimised Spark jobs using partitioning techniques, improving performance across millions of records.
  • Loaded processed datasets into Snowflake, writing optimised SQL for sales, customer, and product analytics.
  • Delivered curated dashboards for sales performance, product demand, and regional trend reporting.
  • Configured CloudWatch monitoring and SNS alerting for full pipeline observability.
AWS GluePySparkDatabricksSnowflakeAthenaCloudWatch
Graduate Engineer
Confianza Technologies
Mar 2021 – Dec 2021 Belfast, North Ireland, UK
  • Led migration of legacy MySQL datasets to Snowflake as part of a cloud data platform modernisation initiative.
  • Developed AWS Glue ETL jobs for transformation and standardisation with PySpark (joins, filtering, aggregations, deduplication).
  • Designed structured Snowflake tables and performed full data validation — row counts, schema checks, source-to-target reconciliation.
  • Implemented CloudWatch logs and SNS notifications for pipeline monitoring and alerting.
MySQLAWS GlueSnowflakePySparkCloudWatch
Academic Background

Education

Interdisciplinary education bridging technology, security, and engineering.

🎓
Master of Science
Cyber Security & Human Factors
Bournemouth University, United Kingdom
Graduated June 2022
🔬
Bachelor of Technology
Electronics & Communication Engineering
VIT University, India
Graduated May 2019