Akhil Wesley Boda
Data Engineer • Baltimore, Maryland, United States • a************@gmail.com • 202****175 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Data Engineer with 6+ years of experience building end-to-end data platforms and analytics pipelines for banking and insurance. Strong in PySpark and Databricks for large-scale transformation and Delta Lake for reliable incremental processing. Experienced designing Snowflake ELT workflows and implementing dbt models to standardize business transformations. Skilled with Azure Data Factory, Apache Airflow, and Kafka for batch and near real-time ingestion, plus Azure Data Lake and Azure Synapse for curated storage and reporting. Owned CI/CD and infrastructure automation using Jenkins, Git and Terraform and deployed containerized workloads on Docker and Kubernetes. Proven track record delivering production-ready pipelines, improving pipeline reliability, and supporting regulatory reporting and analytics use cases across enterprise environments.
Technical Skills
Programming Language: Python,SQL
Databases: Snowflake,Azure Synapse Analytics,Oracle,Elasticsearch
Cloud Platforms: Microsoft Azure,Amazon Web Services,EC2,Azure Data Lake,AWS
Version Control & Development Tools: Git
DevOps & Infrastructure: Docker,Kubernetes,Terraform,Jenkins
Messaging & Monitoring: Apache Kafka,Kibana,Logstash,Grafana
Data Engineering & Processing: Delta Lake,Apache Airflow,PySpark
Data Analysis & Visualization: Pandas,NumPy,Power BI,DAX
AI/ML Frameworks & Libraries: scikit-learn
Data Integration & ETL: dbt,Azure Data Factory,Talend
Project Management & Collaboration: Confluence,Jira,Agile,Scrum
Work Experience
M&T Bank
Data Engineer
Oct 2025 – Present
Banking institution — built data engineering solutions for regulatory reporting, analytics, and enterprise data availability.
Tech Stack: PySpark, Databricks, dbt, Snowflake, Delta Lake, Jenkins, Git, Terraform, Docker, Kubernetes
- Engineered scalable PySpark pipelines on Databricks to process customer, account, loan, and transaction datasets for regulatory reporting
- Built dbt models to standardize business transformations and enforce schema contracts across curated Snowflake datasets
- Designed Snowflake ELT workflows and partitioning strategies to improve query performance for downstream reports
- Applied Delta Lake incremental processing and schema enforcement to improve pipeline reliability and maintain data versioning
- Drove CI/CD automation using Jenkins and Git to deploy Databricks jobs and reduce manual release steps
- Led Terraform infrastructure-as-code changes to standardize environment configuration across development and production
- Deployed and maintained containerized pipeline runners using Docker and Kubernetes to ensure production availability
CareFirst BlueCross BlueShield
Data Engineer
Sep 2024 – Jul 2025
Health insurance carrier — delivered ETL/ELT and near real-time ingestion to support claims, policy, and customer analytics.
Tech Stack: Azure Data Factory, PySpark, Apache Airflow, Apache Kafka, Azure Data Lake Storage, Azure Synapse Analytics, Pandas, SQL, Jenkins, Git
- Translated policy, claims, and customer requirements into ETL pipelines using Azure Data Factory and PySpark
- Developed PySpark transformation logic to cleanse, standardize, and enrich insurance datasets for analytics
- Built Apache Airflow DAGs to orchestrate scheduled reporting jobs and implemented alerting on failed runs
- Implemented Kafka consumers to ingest near real-time insurance transaction events into Azure Data Lake Storage landing zones
- Loaded curated datasets into Azure Synapse Analytics and tuned SQL for faster report generation and reconciliation
- Performed data validation and reconciliation using Pandas and SQL to eliminate critical data errors
- Backed CI/CD deployments using Jenkins and Git to automate builds and releases
Crayon Data
Data Engineer
Nov 2021 – Aug 2023
Data services company — implemented ingestion, transformation and search-backed analytics for client datasets.
Tech Stack: Azure Data Factory, Snowflake, Delta Lake, Jenkins, Pandas, Talend, Elasticsearch, Kibana
- Developed ETL pipelines with Azure Data Factory to ingest transactional and reference sources into Snowflake
- Wrote optimized SQL queries in Azure Synapse and leveraged Delta Lake tables to improve runtime and reliability
- Orchestrated Jenkins pipelines to automate ingestion schedules and monitor job health
- Created Python scripts using Pandas and Spark to clean and validate large data files for downstream consumption
- Implemented Talend jobs to synchronize on-premise SQL Server with Elasticsearch for analytics use cases
- Built Kibana dashboards to visualize Elasticsearch metrics and accelerate log-based anomaly detection
- Partnered with analysts to design Spark and Delta Lake data models that delivered actionable insights
Agilisium
Data Analyst
Jun 2019 – Oct 2021
Analytics consultancy — supported finance and risk reporting by extracting, transforming and visualizing enterprise datasets.
Tech Stack: Oracle SQL, Talend, Azure Synapse Analytics, Pandas, NumPy, scikit-learn, Power BI, DAX, AWS EC2, Jenkins
- Extracted data from Oracle SQL using Talend ETL pipelines to prepare datasets for finance reporting
- Loaded aggregated results into Azure Synapse Analytics to support reporting and reconciliation
- Performed exploratory data analysis using Pandas and NumPy to identify trends and data quality issues
- Applied K-Means clustering and Isolation Forest with scikit-learn to segment customers and flag anomalous activity
- Created interactive Power BI dashboards with DAX to visualize fraud and transaction metrics for stakeholders
- Deployed containerized Python applications on AWS EC2 to streamline production releases
- Implemented Jenkins CI pipelines to automate application builds and deployments
Education
Indiana Wesleyan University
Master’s, Information Technology Project Management Systems • Sep 2025
Bharath University
Bachelor’s, Computer Science • May 2019
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