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I am a data engineering professional with 6+ years of experience building scalable data pipelines and cloud platforms across AWS, Azure, and GCP in healthcare, banking, and insurance. I specialize in ELT/ETL design, data quality, and governance to support HIPAA-compliant data environments. I have consistently improved data consistency and SLA reliability by optimizing pipelines, automating quality checks, and tuning cloud warehouses and Spark workloads. I enjoy collaborating with analysts and stakeholders to deliver trustworthy data for reporting and modeling, while reducing manual maintenance and onboarding time for new sources.…I am a data engineering professional with 6+ years of experience building scalable data pipelines and cloud platforms across AWS, Azure, and GCP in healthcare, banking, and insurance. I specialize in ELT/ETL design, data quality, and governance to support HIPAA-compliant data environments. I have consistently improved data consistency and SLA reliability by optimizing pipelines, automating quality checks, and tuning cloud warehouses and Spark workloads. I enjoy collaborating with analysts and stakeholders to deliver trustworthy data for reporting and modeling, while reducing manual maintenance and onboarding time for new sources.

Bishal Manandhar

Data Scientist, Data Analyst, Cloud Developer, +2

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I am a data engineering professional with 6+ years of experience building scalable data pipelines and cloud platforms across AWS, Azure, and GCP in healthcare, banking, and insurance. I specialize in ELT/ETL design, data quality, and governance to support HIPAA-compliant data environments. I have consistently improved data consistency and SLA reliability by optimizing pipelines, automating quality checks, and tuning cloud warehouses and Spark workloads. I enjoy collaborating with analysts and stakeholders to deliver trustworthy data for reporting and modeling, while reducing manual maintenance and onboarding time for new sources.…I am a data engineering professional with 6+ years of experience building scalable data pipelines and cloud platforms across AWS, Azure, and GCP in healthcare, banking, and insurance. I specialize in ELT/ETL design, data quality, and governance to support HIPAA-compliant data environments. I have consistently improved data consistency and SLA reliability by optimizing pipelines, automating quality checks, and tuning cloud warehouses and Spark workloads. I enjoy collaborating with analysts and stakeholders to deliver trustworthy data for reporting and modeling, while reducing manual maintenance and onboarding time for new sources.

Available to hire

I am a data engineering professional with 6+ years of experience building scalable data pipelines and cloud platforms across AWS, Azure, and GCP in healthcare, banking, and insurance. I specialize in ELT/ETL design, data quality, and governance to support HIPAA-compliant data environments.

I have consistently improved data consistency and SLA reliability by optimizing pipelines, automating quality checks, and tuning cloud warehouses and Spark workloads. I enjoy collaborating with analysts and stakeholders to deliver trustworthy data for reporting and modeling, while reducing manual maintenance and onboarding time for new sources.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Senior Data Engineer at Baptist Health

January 1, 2025 - Present

Led ELT/ETL design across Azure Databricks, BigQuery, and Snowflake to improve data consistency and SLA reliability by 20%. Redesigned dbt models for HEDIS/RAF/risk datasets, removing duplicate logic and reducing ongoing maintenance by 40%. Developed PySpark/SQL rules to standardize clinical/payer logic, boosting reporting accuracy and audit readiness while enforcing governance across Azure and GCP. Implemented automated structure checks, file completeness validation, and formatting controls across ADLS, S3, and GCS, reducing ingestion issues by 25%. Created reusable HL7/FHIR workflows to shorten onboarding of new sources. Tuned BigQuery, Snowflake, and Synapse workloads with clustering, pruning, and partitioning to reduce query latency and accelerate refresh cycles.

Senior Data Engineer at Bank OZK

November 1, 2023 - December 1, 2024

Built ELT pipelines across AWS Glue, ADF, Snowflake, and Synapse, improving reliability of credit-risk and regulatory workflows and reducing reruns by 25%. Developed dbt models for CECL and underwriting to enhance documentation, audit readiness, and lineage visibility for regulated datasets. Improved ingestion and transformation performance by tuning Glue jobs and optimizing S3 partitioning, boosting SLA consistency. Built CDC ingestion flows supporting fraud and risk-scoring workloads, improving data freshness and lowering processing latency. Developed Python/SQL reconciliation checks to detect vendor-mainframe mismatches, improving downstream accuracy. Strengthened Airflow orchestration with better retries, alerting, monitoring, and troubleshooting, reducing pipeline failure rate. Collaborated with audit, governance, and credit teams to align business rules and ensure consistent transformation logic across financial domains.

Data Engineer at Hippo Insurance

April 1, 2022 - September 1, 2023

Built Databricks ELT pipelines for claims, underwriting, and policy datasets, improving reliability and reducing manual fixes by 20%. Implemented ingestion with Fivetran, API connectors, and PySpark, improving Snowflake and BigQuery freshness by 18% and reducing latency. Refactored PySpark transformations into reusable modules for maintainability and faster onboarding. Tuned Snowflake workloads through clustering, partitioning, and pruning to boost BI and actuarial query performance. Added dbt and Python validation controls to catch anomalies earlier, increasing data trust for pricing and modeling teams. Strengthened Airflow schedules, retries, and dependencies to stabilize multi-cloud workflows across AWS and GCP. Optimized Databricks autoscaling and resource planning, reducing unused compute.

Associate Data Engineer at Beaumont Health

January 1, 2021 - March 1, 2022

Supported ADF and Databricks pipelines for clinical datasets, improving stability, SLA adherence, and downstream availability by 12%. Monitored ADF pipelines and resolved ingestion interruptions and schema variations affecting clinical reporting accuracy. Built SQL/PySpark validations that detected schema drift, null anomalies, and formatting errors before data reached analytics layers. Enhanced Synapse/dbt models by refining logic and structure, improving consistency across clinical analytics datasets. Optimized PySpark job runtimes through better joins, caching, and partition strategies to improve batch performance. Documented ingestion steps, troubleshooting paths, and validation rules to support smoother onboarding. Collaborated with analysts to clarify business rules and ensure consistent transformation outputs.

Data Engineer at Next Insurance

November 1, 2019 - December 1, 2020

Assisted with SQL and Python workflows for AWS Glue ETL, supporting daily policy and claims data loads and helping improve load consistency over time. Monitored Airflow DAGs processing API and Kafka data into S3, identifying schema issues, missing files, and timing delays; escalated issues as needed. Supported updates to PySpark transformations and added basic pre-load validation checks before Redshift loads. Assisted in maintaining S3 partitioning structures and metadata to support efficient downstream querying. Documented data flows, validation rules, and S3 structures to improve troubleshooting and onboarding for analytics teams. Collaborated with product and analytics teams to clarify business logic and support accurate, repeatable transformation patterns.