Senior Data Engineer with 5+ years of cloud-scale data platforms

Manikanta Mutyala

Email: *******************@*****.***

Mobile: 786-***-****

LinkedIn: www.linkedin.com/in/mutyala-manikanta-7ab129247 Senior Data Engineer

PROFESSIONAL SUMMARY

Data Engineer with 5 years of experience architecting scalable data platforms across Azure, AWS, and GCP, delivering governed pipelines, reliable ingestion, and analytics-ready datasets for regulated enterprises.

Orchestrated ETL/ELT workflows with SQL, Python, Spark, and Airflow, improving data quality, lineage, and operational resiliency through automated validation, alerting, monitoring, and dashboards.

Optimized cloud data warehouses including Snowflake and BigQuery, enabling performant reporting with Power BI and Tableau while enforcing security controls such as IAM and RBAC.

Standardized CI/CD and IaC practices with GitHub, GitLab, and CloudFormation/Terraform, accelerating releases, reducing deployment risk, strengthening auditability, and improving incident response across teams.

Facilitated team workshops using excellent written oral communication skills, enhancing collaboration and reducing miscommunications.

Implemented innovative solutions through passion automation continual process improvement, boosting productivity by 20%.

Enhanced data integration processes using Informatica within Agile methodology, resulting in 30% improvement in data processing speed and increased system scalability. TECHNICAL SKILLS

Data Engineering - AWS Glue, Azure Data Factory, DBT, Apache Kafka, Spark, Hive, GCP Dataflow, Informatica

Cloud Platforms - AWS (EC2, Lambda, Glue, S3, Kinesis, IAM, EKS, Redshift), Azure (ADF, Synapse, Azure SQL, Entra ID, Key Vault), GCP (BigQuery, GKE, Cloud Storage), Microsoft Fabric

Databases - Redshift, Snowflake, Azure SQL, PostgreSQL, MongoDB, MySQL, Oracle, Oracle Exadata

Infrastructure as Code (IaC) - Terraform, Ansible, ARM Templates, Bicep, CloudFormation, Jenkins, Azure DevOps

Dashboards and Visualization - Power BI, Tableau, Looker, AWS QuickSight

Monitoring and Incident Response - New Relic, AWS CloudWatch, Azure Monitor, ServiceNow, RCA, SLA Management

CI/CD and DevOps - Jenkins, GitHub Actions, Git, GitLab, CodePipeline, CI/CD Pipelines, Shell Scripting Programming & Scripting - Python, SQL, Bash, PowerShell

Security and Compliance - IAM, Encryption, NIST 800-53, CIS Benchmarks, PCI-DSS, RBAC, Key Vault, Audit Logging

Programming Languages - Perl

System Administration and Infrastructure - Linux-based processes, Unix file systems PROFESSIONAL EXPERIENCE

Blue Cross Blue Shield Association December 2024 – Present Sr. Data Engineer

Engineered Azure Data Factory pipelines ingesting claims, provider, and eligibility feeds into Azure Synapse and ADLS, improving timeliness, traceability, and downstream actuarial analytics readiness.

Automated incremental loads with CDC patterns, SQL, and PySpark on Databricks, reducing reprocessing overhead while preserving complete audit trails for HIPAA-sensitive datasets securely daily.

Integrated Azure DevOps CI/CD with Terraform and ARM templates, standardizing releases for Synapse, Databricks, and Functions, minimizing deployment drift and production change failures significantly.

Implemented data quality checks with Great Expectations-style validations, JSON rules, and Airflow scheduling, increasing pipeline reliability and accelerating defect detection for key business stakeholders.

Hardened access controls using Azure IAM, RBAC, Key Vault, and PII masking, strengthening compliance posture and limiting unauthorized exposure across production workloads enterprise-wide consistently.

Enhanced data processing efficiency as a Data Warehouse Engineer by implementing system/architecture improvements in Data Warehousing, resulting in significant latency reduction.

Optimized data management by refining Linux-based processes and Unix file systems for load/extract processes, achieving improved scalability and reliability.

Streamlined database operations using Oracle Exadata and Oracle with Perl scripting, leading to increased uptime and reduced operational costs.

Capital One February 2024 – October 2024

Data Engineer

Migrated on-prem data marts to AWS S3, Glue, and Redshift, enabling elastic storage, faster batch processing, and consistent availability for credit risk modeling teams.

Streamlined ETL with dbt, SQL, and Airflow, standardizing transformations and documentation, improving reproducibility, accelerating onboarding, and enabling faster change reviews across engineering groups.

Instrumented pipelines with CloudWatch metrics, structured logging, and SLA alerts, reducing incident response time, improving operational transparency, and supporting evidence for internal audits compliance.

Tuned Spark jobs on EMR with partitioning, caching, and S3 optimization, lowering runtime variability and delivering predictable refresh cycles for executive dashboards monthly reliably.

Governed secure access via IAM roles, KMS encryption, and PII controls, meeting regulatory requirements while supporting self-service analytics across multiple business units safely consistently.

Leveraged practical working experience and practical knowledge in orchestration tools to automate workflows, resulting in enhanced system reliability and reduced manual intervention.

Improved data integration processes on Linux and Oracle platforms by optimizing data flows, resulting in increased system throughput and reduced latency.

CGI September 2020 – July 2023

Data Engineer

Analyzed multi-source datasets in BigQuery and Cloud Storage, profiling quality, defining KPIs, and delivering trusted marts for reporting and operational decision-making.

Modeled curated dimensional layers with SQL, dbt, and ELT patterns, improving consistency across domains while supporting scalable self-service BI consumption for analysts and executives.

Enabled streaming ingestion with Pub/Sub and Dataflow, integrating CDC feeds into BigQuery, reducing latency and powering near real-time analytics use cases reliably at scale.

Visualized insights through Looker and Power BI, translating complex metrics into dashboards that improved stakeholder alignment and accelerated prioritization of initiatives across distributed teams.

Validated governance controls with IAM, RBAC, and PII handling policies, ensuring compliant access while maintaining analyst productivity across shared GCP environments consistently without friction.

Achieved seamless deployment by applying working knowledge to configure and perform environment setup, enhancing system readiness and operational efficiency.

Advanced system architecture by utilizing Perl to optimize mount types, resulting in improved data access speed and reduced system latency.

EDUCATION

Master's in Information Systems - Florida International University

Bachelor's in Information Technology - Vishnu Institute of Technology

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