Mamidela Dinesh Kumar

Data Engineer

Hyderabad, Telangana, India3 yrs 11 mos experience

Key Highlights

  • Expert in building scalable data pipelines.
  • Proficient in Snowflake and Apache Airflow.
  • Strong focus on data quality and governance.
Stackforce AI infers this person is a Data Engineer specializing in cloud data platforms and scalable data solutions.

Contact

LinkedIn

Skills

Core Skills

Data EngineeringCloud TechnologiesOrchestration & Scheduling

Other Skills

AirflowAmazon Web Services (AWS)SnowflakeDBTPythonSQLApache SparkAzure Data LakeAzure FunctionsDatabricksData IntegrationMicrosoft AzurePostgreSQLVelocity - Rapid Data Ingestion & Replication SolutionHackathons

About

Results-driven Data Engineer with over 3.5+ years of experience in designing, building, and automating robust, scalable data pipelines. My expertise lies in modern cloud data platforms, with a strong focus on Snowflake, Apache Airflow for orchestration, and Python for ETL/ELT development. I am passionate about transforming raw data into reliable, accessible datasets that empower businesses to make data-driven decisions. My work involves building end-to-end data solutions, from ingesting data from diverse sources (SQL, APIs, etc.) to constructing efficient data models and ensuring data quality and governance. Core Skills & Interests: 1.Data Engineering: ETL/ELT, Data Pipeline Development, Data Warehousing, Data Modeling 2.Cloud Technologies: Snowflake, AWS, Azure 3.Orchestration & Scheduling: Apache Airflow, Azure Functions, Azure Data Factory, kafka 4.Programming & Databases: Python, Pyspark, SQL, DBT 5.Data Governance & Quality: Implementing frameworks for reliable data ingestion and management. I am continuously exploring ways to optimize data infrastructure and am keen on tackling challenges in large-scale data processing and automation to drive efficiency and business value.

Experience

3 yrs 11 mos
Total Experience
2 yrs 7 mos
Average Tenure
1 yr 4 mos
Current Experience

Sigmoid

SDE-1 (Data Engineer)

Jan 2025 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

  • Developed reusable Python/SQL modules that standardized coding practices and cut project delivery timelines by ~20-30%.
  • Designed and Developed transaction data to a new Snowflake architecture with DBT model, acting as the single source of truth for sales reporting with 99% accuracy.
  • Engineered custom extraction scripts in Airflow to replace Fivetran, removing external SaaS dependencies and saving the company annual licensing costs.
  • Managed data ingestion from SQL Server to Snowflake, ensuring 0% downtime and continuous data availability for reporting teams.
  • Implemented complex logic for fraud detection KPIs (Theft Identification), directly improving the team's ability to monitor risk.
AirflowAmazon Web Services (AWS)Data EngineeringCloud Technologies

Kagool

2 roles

Associate Data Engineer

Promoted

Aug 2023 – Jan 2025 · 1 yr 5 mos · Hyderabad, Telangana, India · Hybrid

  • Optimized Azure Functions and Databricks code, improving efficiency by 25% and enabling the system to handle larger workloads with enhanced stability and faster processing times.
  • Provided consistent L3 support, resolving critical problems and reducing downtime by 30%, improving overall system reliability for clients.
  • Developed multiple proof of concepts (POCs) to keep the product updated with the latest technologies, resulting in a 20% improvement in feature readiness and reducing implementation time for new technologies.
  • Integrated Azure Data Lake Storage (ADLS) as a source into the product, enabling data flow to and from various targets, which improved data flexibility by 35% and reduced data integration complexities.
  • Led a major version upgrade of the product, enabling parallel extraction and transformation processes, boosting data processing speed by 50% and enhancing scalability for larger datasets.
  • Integrated Unity Catalog with core components in Databricks, enhancing data governance and security by 30%, while improving data access control and auditability across the organization.
Apache SparkAzure Data LakeCloud TechnologiesData Engineering

Graduate Data Engineer

Jun 2022 – Sep 2023 · 1 yr 3 mos · Hyderabad, Telangana, India · Hybrid

  • Collaborated with the ETL product development team, enhancing features and delivering continuous improvements, achieving a 20% increase in system performance and feature reliability.
  • Developed and implemented a reconciliation feature to the product, successfully reconciling counts between source SAP and target Databricks, improving data accuracy by 30% and ensuring seamless data synchronization.
  • Introduced PostgreSQL as a data source, automating data extraction and loading into Azure Data Lake, resulting in a 25% reduction in manual data handling time and improving data availability.
  • Created a monitoring tool using Azure Functions integrated with in-house APIs, enabling the monitoring of multiple clients, reducing critical error response time by 40%, and enhancing overall system reliability.
Data EngineeringMicrosoft AzureCloud Technologies

Virtusa

Associate Software Engineer

Jan 2022 – Mar 2022 · 2 mos · Hyderabad, Telangana, India

Education

Gandhi Institute of Technology and Management (GITAM)

Bachelor of Technology - BTech

Jun 2018 – May 2022

VelocIITy Junior College

Intermediate — MPC

Jun 2016 – Apr 2018

St. Andrews School, Hyderabad

Jun 2011 – May 2016

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