Lakshmi Varaha Krishna ChittellaData engineer

Open to data roles in the US

Lakshmi Varaha Krishna Chittella

Data engineer

Data Engineer with 2.5 years of experience developing Python and SQL data pipelines, Snowflake transformations and Spark-based processing. I deliver dependable operational reporting through incremental loads, data modeling, reconciliation and production troubleshooting, and I independently launched the live Cover Next data product.

Trajectory

Experience

  1. Data Engineer

    Softtechers LLC

    Dec 2025 – Present

    • Engineered Python and SQL pipelines integrating case, customer and activity records from PostgreSQL and REST APIs for operational analytics.
    • Built paginated API extractors with authentication, bounded retries, exception handling and structured execution logs.
    • Integrated case assignment, status-change and resolution events into consistent datasets for downstream reporting.
    • Modeled current case records alongside event histories to support point-in-time analysis and operational reporting.
    • Created staging transformations using SQL CTEs, joins, window functions and aggregations to prepare analytical datasets.
    • Standardized customer identifiers, case statuses, timestamps and source fields across disparate application systems.
    • Implemented null, duplicate-key and source-to-target reconciliation checks to prevent invalid records from reaching reports.
    • Replaced full reloads with timestamp-based incremental extraction and SQL upserts for new and modified records.
    • Maintained scheduled runs, dependency checks, execution logging and controlled reprocessing for failed data refreshes.
    • Published SQL reporting views for case volume, open backlog, resolution trends and service-level performance.
  2. Data Engineer

    TechRoots Inc.

    Jan 2025 – Nov 2025

    • Supported 4 production ETL/ELT pipelines in Snowflake delivering customer, sales and billing datasets for reporting.
    • Developed SQL transformations for staging and reporting tables using joins, aggregations and business-rule validations.
    • Applied PySpark and Python to clean source fields, standardize data types and process structured datasets.
    • Supported incremental data-loading workflows and validated source updates before loading reporting tables.
    • Reconciled source and target records with SQL counts, aggregates, key comparisons and duplicate/null checks.
    • Diagnosed pipeline failures involving SQL errors, missing inputs and dependency issues; verified controlled reruns.
    • Documented recurring failure scenarios, validation queries and recovery steps to streamline troubleshooting.
  3. Associate Systems Engineer

    Tata Consultancy Services, Kolkata, India

    Oct 2022 – May 2023

    • Validated Oracle batch ETL loads of customer and transaction data into operational reporting tables.
    • Wrote SQL joins and aggregations; checked record counts, null fields, duplicate identifiers and key consistency.
    • Investigated batch failures with senior engineers, verified completeness after reruns and supported historical reprocessing.
    • Maintained ETL mappings, test evidence and operational runbooks for troubleshooting and team knowledge transfer.
Selected work

Selected projects

Backend and full-stackSkills assessment at Softtechers

Briefcase

Case management for small law firms. Tracks cases, billing (contingency, hourly or flat fee) and attorney assignments, then splits the fee between the firm and the team when a case closes. Role-based access and an audit log.

  • Java
  • Spring Boot
  • PostgreSQL
Computer visionComputer Vision final project, USD

Power-Line Fault Classification

Applied transfer learning to classify faults in insPLAD power-line inspection images.

  • Python
  • Jupyter
Academics

Education

Dec 2024

M.S. in Computer Science

University of South Dakota

GPA 3.6/4.0

2022

B.Tech in Computer Science and Engineering

BVC College of Engineering (JNTUK)

Beyond the job list

Additional

Leadership

Student Lead

University of South Dakota Campus Retail Food Services

2024

Staff training and operations.

Technical skills

Programming and processing

  • Python
  • SQL
  • Java
  • Apache Spark
  • PySpark
  • Spark SQL
  • pandas

Data engineering

  • ETL/ELT
  • Data warehousing
  • dbt
  • Data modeling
  • Incremental loads
  • Data quality
  • Reconciliation
  • Airflow

Databases and BI

  • Snowflake
  • BigQuery
  • PostgreSQL
  • Oracle
  • MongoDB
  • DynamoDB
  • Tableau
  • Power BI

Cloud and streaming

  • AWS: S3, Glue, EMR, Lambda, Kinesis, EC2, CloudWatch
  • Azure: Data Factory, Databricks, Blob Storage, Synapse, Event Hubs
  • GCP: Cloud Storage, Cloud Monitoring
  • Kafka

Engineering tools

  • Git
  • GitLab
  • GitHub Actions
  • CI/CD
  • Docker
  • Kubernetes
  • Terraform
  • Linux
  • REST APIs
Playground

Apps and experiments

Cover Next and anEverse, plus the games I play. A separate dark site for what I build outside work.

Open the Playground