Abhishek Shrestha
@abhishekshrestha4
Senior Data Engineer and Data Scientist specializing in scalable cloud data platforms and ML.
What I'm looking for
I am a Senior Data Engineer and Data Scientist with 7+ years building scalable, compliant cloud data platforms and production ML solutions across insurance, healthcare, and financial services. I design and operate ETL/ELT pipelines, lakehouse architectures, and analytics engineering workflows using GCP, Databricks, Snowflake, dbt, and Spark to deliver reliable, high-performance data products.
I have hands-on experience with LLMs and transformer models (BERT, RoBERTa, T5) and modern AI (GPT-3.5, Claude, Mistral), and a strong focus on data quality, governance, HIPAA and SOC 2 compliance. I drive cost optimization, CI/CD automation, Terraform-based infrastructure, and mentor teams to embed best practices for observability, lineage, and secure data access.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Allstate
Apr 2024 - Present (1 year 10 months)
Architected enterprise-scale GCP data solutions for insurance analytics, reducing end-to-end data processing time ~45% and lowering data incidents ~35% through Spark optimizations, governance, and CI/CD automation.
ELT Developer
Signify Health
Jan 2023 - Mar 2024 (1 year 2 months)
Designed HIPAA-compliant ELT pipelines on GCP to support healthcare analytics, improving pipeline performance ~30% and reducing operational incidents ~25% while enabling analytics-ready Snowflake datasets.
Python Developer
MasterCard
Mar 2019 - Oct 2022 (3 years 7 months)
Built Python-based ETL and automation for high-volume financial transactions, improving critical workload response times ~40% and supporting PCI-DSS/SOX compliance through validation and audit frameworks.
Education
Degrees, certifications, and relevant coursework
Southeast Missouri State University
Bachelor of Science, Mathematics and Statistics
Completed a Bachelor degree focused on mathematics and statistics to support quantitative analysis and data modeling.
Tech stack
Software and tools used professionally
Apache Spark
Apache Hive
Google Cloud Platform
Google Cloud Storage
Kubernetes
Docker Cloud
NumPy
Pandas
PySpark
dbt
PostgreSQL
Gmail
Databricks
Terraform
JSON
XML
TensorFlow
PyTorch
scikit-learn
Kafka
Ubuntu
Linux
Windows
Windows Server
Airflow
Root Cause
Google BigQuery
SQL
XGBoost
LightGBM
Delta Lake
Great Expectations
Bash
Transform
Deequ
Jan
Availability
Location
Authorized to work in
Job categories
Skills
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