Madima Bala Shrestha
@madimabalashrestha
Senior Data Engineer specializing in scalable GCP lakehouse, streaming pipelines, and cost-optimized production data platforms.
What I'm looking for
I am a Senior Data Engineer with over six years of experience designing, building, and optimizing large-scale data platforms, primarily on Google Cloud Platform. I specialize in end-to-end data engineering solutions—BigQuery, Dataflow, Dataproc (Spark), Pub/Sub—and modernizing legacy systems into scalable lakehouse and data warehouse architectures.
At Pfizer, I reduced processing latency by 40%, cut infrastructure spend by 30% ($450k), led on-prem to GCP migrations with HIPAA/FDA compliance, and implemented real-time ingestion for near real-time analytics. Previously, I modernized workloads into Snowflake and AWS Glue pipelines, improved availability and throughput, and operationalized ML pipelines with SageMaker.
I emphasize secure, cost-optimized, production-grade implementations using Terraform, CI/CD, monitoring, and governance (Dataplex/Data Catalog). I deliver measurable business impact—faster analytics, improved reliability, and compliance—while enabling advanced AI/ML initiatives.
Experience
Work history, roles, and key accomplishments
Led design and optimization of scalable GCP data pipelines for clinical, manufacturing, and sales domains, reducing processing latency 40% and cutting infrastructure spend 30% ($450k) through right-sizing and storage lifecycle strategies.
Data Engineer
Northwestern Mutual
Feb 2022 - Feb 2024 (2 years)
Modernized ETL to ELT on GCP, building BigQuery-based dimensional models and automated orchestration that improved reporting efficiency and pipeline reliability while enforcing enterprise security controls.
Senior Data Engineer
Signify Health
Feb 2020 - Feb 2022 (2 years)
Engineered serverless AWS data pipelines and migrated workloads to Snowflake, improving availability 35%, reducing processing delays 50%, and cutting annual cloud costs by $300k via right-sizing.
Education
Degrees, certifications, and relevant coursework
University of Texas at Arlington
Bachelor of Science, Information Systems
Completed a Bachelor of Science in Information Systems focused on information systems concepts and applied IT solutions.
Tech stack
Software and tools used professionally
Amazon Redshift
Airbyte
AWS Glue
Data Studio
D3.js
Google Cloud Platform
Amazon CloudWatch
Amazon S3
Google Cloud Storage
GitHub
GitLab
Bitbucket
Kubernetes
Jenkins
CircleCI
Jupyter
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
HBase
Gmail
Databricks
Terraform
Jira
JavaScript
Java
Julia
TensorFlow
PyTorch
MLflow
scikit-learn
Kubeflow
Kafka
Apache NiFi
Apache Pulsar
Azure Active Directory
Serverless
Kafka Streams
Apache Storm
Airflow
Apache Beam
Root Cause
Google BigQuery
Luigi
SQL
XGBoost
Hugging Face
Sisense
LangChain
Delta Lake
OpenAI API
Bash
Unity Catalog
Beam
Availability
Location
Authorized to work in
Job categories
Skills
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