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Akriti Luitel

@akritiluitel

Senior Data Engineer at Merck building governed pharmaceutical data products and AI-assisted scientific document retrieval.

United States

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At Merck, I design enterprise data solutions for clinical research, manufacturing, quality, supply-chain, and commercial analytics. I developed a Delta Lake lakehouse and Snowflake data products, and created an AI-assisted retrieval solution for approved scientific and operational documentation.

Previously, I developed financial data pipelines and streaming workflows at Citi Bank and Bank ofAmerica, supporting risk, analytics, and regulatory reporting. At eClinicalWorks, I developed ETL pipelines for EHR and clinical data; I hold an MBA in Business Analytics and certifications in Azure, Databricks, and AWS.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Merck

Sep 2024 - Present (2 years 1 month)

Designed and delivered enterprise data solutions using Azure Databricks, Azure Data Factory, ADLS Gen2, Snowflake, Python, SQL, and PySpark for clinical research, commercial, manufacturing, quality, and supply-chain analytics. Developed configurable ingestion frameworks and established a Delta Lake-based lakehouse architecture.

Data Engineer

Citi Bank

May 2022 - Aug 2024 (2 years 3 months)

Developed high-volume financial data pipelines using AWS Glue, Amazon EMR, PySpark, SQL, Amazon S3, and Redshift to process transaction, payment, account, securities, position, pricing, and risk datasets. Implemented CDC and incremental processing and built event-streaming pipelines using Apache Kafka and Amazon Kinesis.

Data Engineer

Bank of America

Jun 2020 - Apr 2022 (1 year 10 months)

Built enterprise ETL/ELT pipelines using Azure Data Factory, Python, SQL, Snowflake, and PySpark to integrate customer, deposit, lending, payment, transaction, credit, and financial datasets. Designed Snowflake dimensional models and implemented data-quality checks using dbt tests.

Azure Data Factory Snowflake DBT Python SQL PySpark ADLS Gen2 Azure Key Vault Azure DevOps Terraform Git CI CD Oracle SQL Server REST APIs SFTP Parquet Dimensional Modeling CDC Data Quality Financial Reconciliations

ETL Developer

eClinicalWorks

Oct 2018 - Apr 2020 (1 year 6 months)

Developed ETL pipelines using SQL, Python, Hadoop, Hive, and Apache Spark to process EHR, patient, provider, encounter, appointment, claims, billing, and clinical datasets. Created ingestion workflows and performed source-to-target reconciliation.