Sai Kumar Miryala — Data Engineer

𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗘𝗧𝗟, 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 & 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 I'm a results-driven Data Engineer with the years of experience in designing and delivering data solutions across the automotive, financial, and banking sectors. I specialize in building cloud-native, scalable data platforms that power analytics, BI, and ML workloads. Starting as a Data Analyst, I transitioned into a Cloud Data Engineer, combining traditional ETL tools with modern cloud architectures. 🔹 𝗘𝗧𝗟, 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Experience with tools like Talend and Informatica, designing robust ETL workflows, transformations, and large-scale data migrations. Skilled in optimizing data pipelines for reliability and performance. ☁️ 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 (𝗔𝗪𝗦 & 𝗔𝘇𝘂𝗿𝗲) Built and automated ETL pipelines using: • AWS – S3, Glue, Lambda, Redshift, EMR, Athena, DynamoDB • Azure – Data Factory, Azure Databricks, Blob Storage, Synapse Focus on PySpark-driven workflows, cost-efficient orchestration, and scalable architecture. 🏠 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘄𝗶𝘁𝗵 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 Built Delta Lake-based lakehouses using AWS & Azure Databricks. Key skills include: • Unity Catalog implementation • Bronze-Silver-Gold pipeline design • Delta Live Tables (DLT) orchestration • Schema enforcement, versioning, data quality ❄️ 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 – 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲 Delivered analytics-ready solutions using: • Snowpipe, COPY INTO • Streams & Tasks for CDC • Materialized views, Z-ordering, performance tuning • Secure data sharing and RBAC implementation 💡 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 I bring deep expertise across the data stack—traditional ETL to modern lakehouses. Whether it's a legacy migration, cloud transformation, or modern analytics platform, I design data architectures that scale with the business. Let’s connect and talk data! 🚀.

Stackforce AI infers this person is a Data Engineer specializing in cloud data solutions across Fintech and Automotive sectors.

Location: Atlanta, Georgia, United States

Experience: 8 yrs 9 mos

Skills

Data Engineering
Azure Data Factory
Aws
Etl
Data Analysis

Career Highlights

Expert in building cloud-native data platforms.
Proven track record in optimizing data pipelines.
Strong background in ETL and data migration.

Work Experience

Precision Technologies

Data Engineer (10 mos)

KeyBank

Data Engineer (1 yr 3 mos)

HashedIn by Deloitte

Data Engineer 2 (1 yr)

Data Engineer (11 mos)

L&T Technology Services Limited

Data Engineer (2 yrs 6 mos)

Aditya Birla Group

Data Analyst (2 yrs 3 mos)

Education

Masters at University of West Florida

Advanced Certificate Programme in Data Science at International Institute of Information Technology Bangalore

Bachelor of Technology at JNTUH College of Engineering Hyderabad

Sai Kumar Miryala

Data Engineer

Atlanta, Georgia, United States8 yrs 9 mos experience

Key Highlights

Expert in building cloud-native data platforms.
Proven track record in optimizing data pipelines.
Strong background in ETL and data migration.

Stackforce AI infers this person is a Data Engineer specializing in cloud data solutions across Fintech and Automotive sectors.

Contact

Skills

Core Skills

Data EngineeringAzure Data FactoryAwsEtlData Analysis

Other Skills

AWS CloudFormationAWS Dynamo DBAWS GlueAWS Identity and Access Management (AWS IAM)AWS KMSAWS LambdaAWS S3AWS Step FunctionsAmazon AuroraAmazon CloudWatchAmazon DynamodbAmazon EC2Amazon Elastic MapReduce (EMR)Amazon KinesisAmazon Relational Database Service (RDS)

About

Experience

8 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

10 mos

Current Experience

Precision technologies

Data Engineer

Aug 2025 – Present · 10 mos

Keybank

Data Engineer

Apr 2024 – Jul 2025 · 1 yr 3 mos · United States · Remote

This project aimed to enhance data processing efficiency, governance, and security compliance for large-scale cloud-based data solutions. I led the optimization of data pipelines using Azure Data Factory, Azure Databricks, and Delta Lake, ensuring streamlined workflows and improved data accessibility. Collaborated with cross-functional teams to implement robust security measures with Azure AD and Unity Catalog, ensuring alignment with industry standards and regulatory requirements.

Apache SparkAWS Dynamo DBNormalizationData IngestionAzure DatabricksPython (Programming Language)+8

Hashedin by deloitte

2 roles

Data Engineer 2

Jul 2022 – Jul 2023 · 1 yr · Hybrid

1) Engineered end-to-end automated data pipelines using AWS services (S3, Lambda, Glue, Step Functions), reducing data processing times by 30% and enabling seamless cross-regional integrations.
2) Streamlined cloud migration workflows through CloudFormation and multi-region setups, optimizing data availability while cutting resource costs.
3) Designed and deployed ETL workflows to enhance data pipeline performance by 20%, leveraging Snowflake, DynamoDB, and Control-M for orchestration.
4) Collaborated with cross-functional teams to align workflows with evolving client requirements, delivering scalable and high-performance solutions.

Extract, Transform, Load (ETL)Data AnalysisData IngestionAmazon SQSAWS Step FunctionsData Modeling+21

Data Engineer

Jul 2021 – Jun 2022 · 11 mos · Hybrid

Developed logical and physical data modeling tailored to client requirements, leveraging RDBMS principles during the design of Talend ELT workflows. Ensured seamless data migration with high data fidelity and consistency, showcasing proficiency in programming using ETL tools.

Extract, Transform, Load (ETL)Data AnalysisNormalizationAmazon Simple Notification Service (SNS)Data IngestionStar Schema+16

L&t technology services limited

Data Engineer

Jan 2019 – Jul 2021 · 2 yrs 6 mos · Bangalore Urban, Karnataka, India · On-site

This project focused on optimizing real-time automotive data processing by reducing analysis time by 15% through Python transformations, securely storing vehicle data in AWS DynamoDB, designing ETL pipelines with AWS Glue and S3, and ensuring security, data integrity, and availability with IAM, KMS, and disaster recovery plans.

Extract, Transform, Load (ETL)Data AnalysisHadoopAmazon EC2Data IngestionData Modeling+10

Aditya birla group

Data Analyst

Oct 2016 – Jan 2019 · 2 yrs 3 mos · India · Hybrid

This project aimed to streamline data processing and enhance decision-making by building scalable and efficient ETL pipelines using Talend, AWS S3, and Tableau. The solution automated data extraction, transformation, and loading, improving data accessibility and accuracy. Custom transformations were implemented to meet client-specific needs, while automation reduced manual effort and increased operational efficiency.

Python (Programming Language)AWS S3SQLAWS KMSAWS GlueAWS Identity and Access Management (AWS IAM)+2