Lakshmi Priyanka
@lakshmipriyanka
Senior Data Engineer specializing in cloud-native data platforms and scalable ETL.
What I'm looking for
I am a Senior Data Engineer with over six years of experience designing and delivering scalable, cloud-native data pipelines and analytics solutions across telecom, retail, financial services, and healthcare domains. I specialize in AWS, GCP, Azure, Terraform, and building automated ETL, data lakes, and warehouses to drive data-driven decisions.
My work has reduced processing latency and operational costs while enabling real-time analytics, predictive models, and MLOps; notable accomplishments include implementing AWS Glue/S3/Redshift pipelines that improved operational efficiency by up to 40% and reducing batch latency by 50% through event-driven orchestration. I lead migrations of legacy systems to cloud-native solutions and integrate GenAI and ML pipelines for fraud detection, risk assessment, and customer scoring.
I mentor junior engineers, establish DataOps/CI-CD practices, and enforce governance and compliance (HIPAA, SOX, CCPA) while optimizing cost and performance across multi-cloud environments. I bring a pragmatic, security-first approach to building reliable, reproducible data platforms that accelerate business outcomes.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
PwC
Apr 2023 - Present (2 years 10 months)
Designed and implemented scalable AWS Glue, S3, Lambda, and Redshift data pipelines for financial and healthcare workloads, improving operational efficiency by 40% and reducing batch latency by 50% while ensuring regulatory compliance.
Data Engineer
BMW
May 2021 - Apr 2023 (1 year 11 months)
Built GCP-based data pipelines with Dataflow, BigQuery and Cloud Storage, optimized queries and storage to reduce processing time by 40%, and implemented CI/CD and Terraform for reproducible deployments.
Data Warehouse Developer
Capgemini
Sep 2019 - May 2021 (1 year 8 months)
Developed ETL and data warehouse solutions on AWS (S3, EC2, Lambda, Redshift) for telecom datasets, improving data processing efficiency by 40% and enabling real-time analytics and reporting.
Education
Degrees, certifications, and relevant coursework
Jawaharlal Nehru Technological University, Hyderabad
Bachelor of Science, Computer Science
Completed a Bachelor's degree in Computer Science from JNTUH, awarded in May 2019.
Tech stack
Software and tools used professionally
Amazon Redshift
AWS Glue
AWS IAM
Microsoft Azure
Google Cloud Platform
Stackdriver
Amazon S3
AWS Step Functions
GitHub
GitLab
AWS CodePipeline
Jenkins
GitHub Actions
PySpark
AWS Data Pipeline
dat
Gmail
Rollout
Databricks
Terraform
AWS CloudFormation
Azure DevOps
AWS CloudTrail
Azure Machine Learning
Kafka
Amazon Kinesis
AWS Lambda
Serverless
Azure Functions
Amazon RDS
Time Analytics
Google BigQuery
Amazon Athena
SQL
Azure Blob Storage
Enhance
Factory
Availability
Location
Authorized to work in
Job categories
Skills
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